2016
Passaro, L. C.; Lenci, A.
Evaluating context selection strategies to build Emotive Vector Space Models Conference
2016.
@conference{Passaro20162185,
title = {Evaluating context selection strategies to build Emotive Vector Space Models},
author = {L. C. Passaro and A. Lenci},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85009286010&partnerID=40&md5=10d416d8ddbff7b1f746490a8ce22659},
year = {2016},
date = {2016-01-01},
journal = {Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016},
pages = {2185-2191},
abstract = {In this paper we compare different context selection approaches to improve the creation of Emotive Vector Space Models (VSMs). The system is based on the results of an existing approach that showed the possibility to create and update VSMs by exploiting crowdsourcing and human annotation. Here, we introduce a method to manipulate the contexts of the VSMs under the assumption that the emotive connotation of a target word is a function of both its syntagmatic and paradigmatic association with the various emotions. To study the differences among the proposed spaces and to confirm the reliability of the system, we report on two experiments: in the first one we validated the best candidates extracted from each model, and in the second one we compared the models' performance on a random sample of target words. Both experiments have been implemented as crowdsourcing tasks.},
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In this paper we compare different context selection approaches to improve the creation of Emotive Vector Space Models (VSMs). The system is based on the results of an existing approach that showed the possibility to create and update VSMs by exploiting crowdsourcing and human annotation. Here, we introduce a method to manipulate the contexts of the VSMs under the assumption that the emotive connotation of a target word is a function of both its syntagmatic and paradigmatic association with the various emotions. To study the differences among the proposed spaces and to confirm the reliability of the system, we report on two experiments: in the first one we validated the best candidates extracted from each model, and in the second one we compared the models' performance on a random sample of target words. Both experiments have been implemented as crowdsourcing tasks.
Passaro, Lucia; Lenci, Alessandro
Evaluating Context Selection Strategies to Build Emotive Vector Space Models Conference
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), ELRA, Parigi, 2016, ISBN: 978-2-9517408-9-1.
@conference{ 11568_843127,
title = {Evaluating Context Selection Strategies to Build Emotive Vector Space Models},
author = {Lucia Passaro and Alessandro Lenci},
url = {http://www.lrec-conf.org/proceedings/lrec2016/summaries/637.html},
isbn = {978-2-9517408-9-1},
year = {2016},
date = {2016-01-01},
booktitle = {Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016)},
pages = {2185–2191},
publisher = {ELRA},
address = {Parigi},
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Senaldi, Marco; Lebani, Gianluca; Lenci, Alessandro
Determining the Compositionality of Noun-Adjective Pairs with Lexical Variants and Distributional Semantics Conference
Proceedings of the Third Italian Conference on Computational Linguistics (CLiC-it 2016), Accademia University Press, Torino, 2016, ISBN: 978-88-99982-08-9.
@conference{ 11568_842473,
title = {Determining the Compositionality of Noun-Adjective Pairs with Lexical Variants and Distributional Semantics},
author = {Marco Senaldi and Gianluca Lebani and Alessandro Lenci},
isbn = {978-88-99982-08-9},
year = {2016},
date = {2016-01-01},
booktitle = {Proceedings of the Third Italian Conference on Computational Linguistics (CLiC-it 2016)},
pages = {268–273},
publisher = {Accademia University Press},
address = {Torino},
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Pastena, Andreana; Lenci, Alessandro
Antonymy and Canonicity: Experimental and Distributional Evidence Conference
Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex - V), 2016, ISBN: 978-4-87974-721-1.
@conference{ 11568_841899,
title = {Antonymy and Canonicity: Experimental and Distributional Evidence},
author = {Andreana Pastena and Alessandro Lenci},
isbn = {978-4-87974-721-1},
year = {2016},
date = {2016-01-01},
booktitle = {Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex - V)},
pages = {166–175},
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Lebani, Gianluca; Lenci, Alessandro
"Beware the Jabberwock, dear reader!" Testing the distributional reality of construction semantics Conference
Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex - V), The COLING 2016 Organizing Committee, 2016, ISBN: 978-4-87974-721-1.
@conference{ 11568_841895,
title = {"Beware the Jabberwock, dear reader!" Testing the distributional reality of construction semantics},
author = {Gianluca Lebani and Alessandro Lenci},
isbn = {978-4-87974-721-1},
year = {2016},
date = {2016-01-01},
booktitle = {Proceedings of the 5th Workshop on Cognitive Aspects of the Lexicon (CogALex - V)},
pages = {8–18},
publisher = {The COLING 2016 Organizing Committee},
keywords = {},
pubstate = {published},
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2015
Lebani, Gianluca; Bondielli, Alessandro; Lenci, Alessandro
You Are What you Do. An Empirical Characterization of the Semantic Content of the Thematic Roles for a Group of Italian Verbs Journal Article
In: JOURNAL OF COGNITIVE SCIENCE, vol. 16, no. 4, pp. 401–430, 2015.
@article{ 11568_766542,
title = {You Are What you Do. An Empirical Characterization of the Semantic Content of the Thematic Roles for a Group of Italian Verbs},
author = {Gianluca Lebani and Alessandro Bondielli and Alessandro Lenci},
url = {http://j-cs.org/issues/__vol016i4/3.html},
year = {2015},
date = {2015-01-01},
journal = {JOURNAL OF COGNITIVE SCIENCE},
volume = {16},
number = {4},
pages = {401–430},
abstract = {The nature of thematic roles is a central, yet controversial, issue both for models of linguistic competence as well as for models of sentence processing. McRae et al (1997b) proposed to treat thematic roles as verb-specific prototypes that can be empirically described by resorting to a modified version of the traditional feature norm paradigm. In this paper, we present the results of two norming experiments in which we extended this approach to incorporate the distinction between filler-inherent and verb-entailed features, the latter being further characterized on the basis of their association with one or more phases of the time course of the event.
In the first experiment, we asked to a group of speakers to list the prototypical characteristics of the fillers of two semantic roles, agent and patient, for a set of 20 Italian transitive verbs. We then manually annotated the collected features according to our classification of feature types. In the second experiment, we encouraged participants to list as many properties as possible to describe the verb roles with respect to three different time slots: before, during and after the event described by the verb takes place.
The collected data supports the claim in McRae et al (1997b) that thematic roles can be also treated as verb-specific concepts. The first experiment reveals differences between the agent and the patient roles, which instead disappears in the second experiment. The methodological novelty introduced in the latter is also able to highlight the interaction between the speakers’ knowledge of verb roles and the temporal phases of the events.},
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The nature of thematic roles is a central, yet controversial, issue both for models of linguistic competence as well as for models of sentence processing. McRae et al (1997b) proposed to treat thematic roles as verb-specific prototypes that can be empirically described by resorting to a modified version of the traditional feature norm paradigm. In this paper, we present the results of two norming experiments in which we extended this approach to incorporate the distinction between filler-inherent and verb-entailed features, the latter being further characterized on the basis of their association with one or more phases of the time course of the event.
In the first experiment, we asked to a group of speakers to list the prototypical characteristics of the fillers of two semantic roles, agent and patient, for a set of 20 Italian transitive verbs. We then manually annotated the collected features according to our classification of feature types. In the second experiment, we encouraged participants to list as many properties as possible to describe the verb roles with respect to three different time slots: before, during and after the event described by the verb takes place.
The collected data supports the claim in McRae et al (1997b) that thematic roles can be also treated as verb-specific concepts. The first experiment reveals differences between the agent and the patient roles, which instead disappears in the second experiment. The methodological novelty introduced in the latter is also able to highlight the interaction between the speakers’ knowledge of verb roles and the temporal phases of the events.
In the first experiment, we asked to a group of speakers to list the prototypical characteristics of the fillers of two semantic roles, agent and patient, for a set of 20 Italian transitive verbs. We then manually annotated the collected features according to our classification of feature types. In the second experiment, we encouraged participants to list as many properties as possible to describe the verb roles with respect to three different time slots: before, during and after the event described by the verb takes place.
The collected data supports the claim in McRae et al (1997b) that thematic roles can be also treated as verb-specific concepts. The first experiment reveals differences between the agent and the patient roles, which instead disappears in the second experiment. The methodological novelty introduced in the latter is also able to highlight the interaction between the speakers’ knowledge of verb roles and the temporal phases of the events.
Santus, Enrico; Lenci, Alessandro; Qin, Lu; Huang, Chu-Ren
When Similarity Becomes Opposition: Synonyms and Antonyms Discrimination in DSMs Journal Article
In: IJCOL, vol. 1, no. 1, pp. 41–54, 2015.
@article{ 11568_892475,
title = {When Similarity Becomes Opposition: Synonyms and Antonyms Discrimination in DSMs},
author = {Enrico Santus and Alessandro Lenci and Lu Qin and Chu-Ren Huang},
year = {2015},
date = {2015-01-01},
journal = {IJCOL},
volume = {1},
number = {1},
pages = {41–54},
keywords = {},
pubstate = {published},
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Bertinetto, Pier Marco; Freiberger, Eva Maria; Lenci, Alessandro; Noccetti, Sabrina; Agonigi, Maddalena
The acquisition of tense and aspect in a morphology-sensitive framework: Data from Italian and Austrian-German children Journal Article
In: LINGUISTICS, vol. 53, no. 5, pp. 1113–1168, 2015.
@article{ 11568_762117,
title = {The acquisition of tense and aspect in a morphology-sensitive framework: Data from Italian and Austrian-German children},
author = {Pier Marco Bertinetto and Eva Maria Freiberger and Alessandro Lenci and Sabrina Noccetti and Maddalena Agonigi},
url = {http://www.degruyter.com/view/j/ling.2015.53.issue-5/ling-2015-0030/ling-2015-0030.xml},
doi = {10.1515/ling-2015-0030},
year = {2015},
date = {2015-01-01},
journal = {LINGUISTICS},
volume = {53},
number = {5},
pages = {1113–1168},
abstract = {This article criticizes the wide-spread view, sometimes referred to as the “aspect first hypothesis” (initiated by Antinucci and Miller 1976 and supported by Bloom et al. 1980; Bickerton 1981; Weist et al. 1984; Shirai and Andersen 1995, among others), according to which a universal acquisition path is postulated in the tense-aspect domain, based on the leading role of actionality (or Aktionsart) and aspect.},
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This article criticizes the wide-spread view, sometimes referred to as the “aspect first hypothesis” (initiated by Antinucci and Miller 1976 and supported by Bloom et al. 1980; Bickerton 1981; Weist et al. 1984; Shirai and Andersen 1995, among others), according to which a universal acquisition path is postulated in the tense-aspect domain, based on the leading role of actionality (or Aktionsart) and aspect.
Zarcone, Alessandra; Padó, Sebastian; Lenci, Alessandro
Same same but different: type and typicality in a distributional model of complement coercion Conference
Word Structure and Word Usage. Proceedings of the NetWordS Final Conference, vol. 1347, CEUR-WS.org, Aachen, 2015.
@conference{ 11568_762109,
title = {Same same but different: type and typicality in a distributional model of complement coercion},
author = {Alessandra Zarcone and Sebastian Padó and Alessandro Lenci},
url = {http://ceur-ws.org/Vol-1347/paper19.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {Word Structure and Word Usage. Proceedings of the NetWordS Final Conference},
volume = {1347},
pages = {91–94},
publisher = {CEUR-WS.org},
address = {Aachen},
abstract = {We aim to model the results from a self-paced reading experiment, which tested the effect of semantic type clash and typicality on the processing of German complement coercion. We present two distributional semantic models to test if they can model the effect of both type and typicality in the psycholinguistic study. We show that one of the models, without explicitly representing type information, can account both for the effect of type and typicality in complement coercion},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
We aim to model the results from a self-paced reading experiment, which tested the effect of semantic type clash and typicality on the processing of German complement coercion. We present two distributional semantic models to test if they can model the effect of both type and typicality in the psycholinguistic study. We show that one of the models, without explicitly representing type information, can account both for the effect of type and typicality in complement coercion
Fabre, Cécile; Lenci, Alessandro
SEMANTIQUE DISTRIBUTIONNELLE Journal Article
In: REVUE TAL, vol. 56, pp. 1–140, 2015.
@article{<LineBreak> 11568_766238,
title = {SEMANTIQUE DISTRIBUTIONNELLE},
author = {Cécile Fabre and Alessandro Lenci},
url = {https://www.atala.org/-Volume-56-2-Semantique-},
year = {2015},
date = {2015-01-01},
urldate = {2015-01-01},
journal = {REVUE TAL},
volume = {56},
pages = {1–140},
publisher = {ATALA (Association pour le traitement automatique des langues)},
address = {Parigi},
abstract = {This special issue contains state-of-the-art papers on distributional semantics},
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This special issue contains state-of-the-art papers on distributional semantics
Lenci, Alessandro
Modelli computazionali del linguaggio tra regole e probabilità Book Chapter
In: La grammatica e l'errore. Le lingue naturali tra regole, loro violazioni ed eccezioni, pp. 85–100, BONONIA UNIVERSITY PRESS, Bologna, 2015, ISBN: 9788873959823.
@inbook{ 11568_733669,
title = {Modelli computazionali del linguaggio tra regole e probabilità},
author = {Alessandro Lenci},
isbn = {9788873959823},
year = {2015},
date = {2015-01-01},
booktitle = {La grammatica e l'errore. Le lingue naturali tra regole, loro violazioni ed eccezioni},
pages = {85–100},
publisher = {BONONIA UNIVERSITY PRESS},
address = {Bologna},
abstract = {L'articolo tratta i problemi principali dei modelli probabilistici del linguaggio},
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L'articolo tratta i problemi principali dei modelli probabilistici del linguaggio
Lenci, Alessandro; Lebani, Gianluca; Senaldi, Marco; Castagnoli, Sara; Masini, Francesca; Nissim, Malvina
Word Structure and Word Usage. Proceedings of the NetWordS Final Conference, vol. 1347, CEUR-WS.org, Aachen, 2015.
@conference{ 11568_762107,
title = {Mapping the constructicon with SYMPAThy. Italian word combinations between fixedness and productivity},
author = {Alessandro Lenci and Gianluca Lebani and Marco Senaldi and Sara Castagnoli and Francesca Masini and Malvina Nissim},
url = {http://ceur-ws.org/Vol-1347/paper33.pdf},
year = {2015},
date = {2015-01-01},
booktitle = {Word Structure and Word Usage. Proceedings of the NetWordS Final Conference},
volume = {1347},
pages = {144–149},
publisher = {CEUR-WS.org},
address = {Aachen},
abstract = {This work introduces SYMPAThy, a data representation model in which the combinatorial properties of a lexical item are described by merging surface and deeper linguistic information. The proposed approach is then evaluated by comparing, for a sample list of verbal idioms, a set of SYMPAThy-based fixedness indexes against the relevant speaker-elicited indexes available in the descriptive norms collected by Tabossi et al. (2011)},
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This work introduces SYMPAThy, a data representation model in which the combinatorial properties of a lexical item are described by merging surface and deeper linguistic information. The proposed approach is then evaluated by comparing, for a sample list of verbal idioms, a set of SYMPAThy-based fixedness indexes against the relevant speaker-elicited indexes available in the descriptive norms collected by Tabossi et al. (2011)
Passaro, Lucia; Pollacci, Laura; Lenci, Alessandro
ItEM: A Vector Space Model to Bootstrap an Italian Emotive Lexicon Conference
Proceedings of the Second Italian Conference on Computational Linguistics CLiC-it 2015, Academia University Press, Torino, 2015, ISBN: 978-88-99200-62-6.
@conference{ 11568_766226.6,
title = {ItEM: A Vector Space Model to Bootstrap an Italian Emotive Lexicon},
author = {Lucia Passaro and Laura Pollacci and Alessandro Lenci},
isbn = {978-88-99200-62-6},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the Second Italian Conference on Computational Linguistics CLiC-it 2015},
pages = {215–220},
publisher = {Academia University Press},
address = {Torino},
abstract = {In recent years computational linguistics has seen a rising interest in subjectivity, opinions, feelings and emotions. Even though great attention has been given to polarity recognition, the research in emotion detection has had to rely on small emotion resources. In this paper, we present a methodology to build emotive lexicons by jointly exploiting vector space models and human annotation, and we provide the first results of the evaluation with a crowdsourcing experiment.},
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In recent years computational linguistics has seen a rising interest in subjectivity, opinions, feelings and emotions. Even though great attention has been given to polarity recognition, the research in emotion detection has had to rely on small emotion resources. In this paper, we present a methodology to build emotive lexicons by jointly exploiting vector space models and human annotation, and we provide the first results of the evaluation with a crowdsourcing experiment.
Batiukova, O.; Bertinetto, P. M.; Lenci, Alessandro; Zarcone, A.
Identifying actional features through semantic priming: Cross-Romance comparison Book Chapter
In: Taming the TAME Systems, vol. 27, pp. 161–187, Brill, Leiden, 2015, ISBN: 9789004292024.
@inbook{ 11568_735472,
title = {Identifying actional features through semantic priming: Cross-Romance comparison},
author = {O. Batiukova and P. M. Bertinetto and Alessandro Lenci and A. Zarcone},
url = {http://www.brill.com/products/book/taming-tame-systems},
isbn = {9789004292024},
year = {2015},
date = {2015-01-01},
booktitle = {Taming the TAME Systems},
volume = {27},
pages = {161–187},
publisher = {Brill},
address = {Leiden},
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Fabre, Cécile; Lenci, Alessandro
Distributional Semantics Today Journal Article
In: REVUE TAL, vol. 56, no. 2, pp. 7–20, 2015.
@article{ 11568_766234,
title = {Distributional Semantics Today},
author = {Cécile Fabre and Alessandro Lenci},
url = {https://www.atala.org/IMG/pdf/preface.pdf},
year = {2015},
date = {2015-01-01},
journal = {REVUE TAL},
volume = {56},
number = {2},
pages = {7–20},
abstract = {This introduction to the special issue of the TAL journal on distributional semantics provides an overview of the current topics of this field and gives a brief summary of the contributions},
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This introduction to the special issue of the TAL journal on distributional semantics provides an overview of the current topics of this field and gives a brief summary of the contributions
Nissim, Malvina; Castagnoli, Sara; Masini, Francesca; Lebani, Gianluca; Passaro, Lucia; Lenci, Alessandro
Automatic extraction of Word Combinations from corpora: evaluating methods and benchmarks Conference
Proceedings of the Second Italian Conference on Computational Linguistics CLiC-it 2015, Academia University Press, Torino, 2015, ISBN: 978-88-99200-62-6.
@conference{ 11568_766218.4,
title = {Automatic extraction of Word Combinations from corpora: evaluating methods and benchmarks},
author = {Malvina Nissim and Sara Castagnoli and Francesca Masini and Gianluca Lebani and Lucia Passaro and Alessandro Lenci},
url = {http://www.aaccademia.it/elenco-libri?aacat=linguistica},
isbn = {978-88-99200-62-6},
year = {2015},
date = {2015-01-01},
booktitle = {Proceedings of the Second Italian Conference on Computational Linguistics CLiC-it 2015},
pages = {204–209},
publisher = {Academia University Press},
address = {Torino},
abstract = {We report on three experiments aimed at comparing two popular methods for the automatic extraction of Word Combinations from corpora, with a view to evaluate: i) their efficacy in acquiring data to be included in a combinatory resource for Italian; ii) the impact of different types of benchmarks on the evaluation itself.},
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We report on three experiments aimed at comparing two popular methods for the automatic extraction of Word Combinations from corpora, with a view to evaluate: i) their efficacy in acquiring data to be included in a combinatory resource for Italian; ii) the impact of different types of benchmarks on the evaluation itself.
2014
Passaro, Lucia; Lenci, Alessandro
Proceedings of the First Italian Conference on Computational Linguistics CLiC-it 2014 & the Fourth International Workshop EVALITA 2014, vol. 1, 2014, ISBN: 9788867414727.
@conference{ 11568_1113534,
title = {“Il Piave mormorava...”: Recognizing Locations and other Named Entities in Italian Texts on the Great War},
author = {Lucia Passaro and Alessandro Lenci},
url = {https://clic2014.fileli.unipi.it/proceedings/Proceedings-CLICit-2014.pdf},
doi = {10.12871/CLICIT2014155},
isbn = {9788867414727},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the First Italian Conference on Computational Linguistics CLiC-it 2014 & the Fourth International Workshop EVALITA 2014},
volume = {1},
pages = {286–290},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Lyding, Verena; Stemle, Egon; Borghetti, Claudia; Brunello, Marco; Castagnoli, Sara; Dell'Orletta, Felice; Dittmann, Henrik; Lenci, Alessandro; Pirrelli, Vito
The PAISA' Corpus of Italian Web Texts Conference
Proceedings of the 9th Web as Corpus Workshop (WaC-9) @ EACL 2014, EACL (European chapter of the Association for Computational Linguistics), Gothenburg, Sweden, 2014, ISBN: 978-1-937284-83-1.
@conference{ 11568_779096,
title = {The PAISA' Corpus of Italian Web Texts},
author = {Verena Lyding and Egon Stemle and Claudia Borghetti and Marco Brunello and Sara Castagnoli and Felice Dell'Orletta and Henrik Dittmann and Alessandro Lenci and Vito Pirrelli},
url = {http://www.aclweb.org/anthology/W/W14/W14-0406.pdf},
isbn = {978-1-937284-83-1},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the 9th Web as Corpus Workshop (WaC-9) @ EACL 2014},
pages = {36–43},
publisher = {EACL (European chapter of the Association for Computational Linguistics)},
address = {Gothenburg, Sweden},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Passaro, Lucia; Lebani, Gianluca; Pollacci, Laura; Chersoni, Emmanuele; Lenci, Alessandro
The CoLing Lab system for Sentiment Polarity Classification of tweets Conference
Proceedings of the Fourth International Workshop EVALITA 2014, Pisa University Press, Pisa, 2014, ISBN: 9788867414727.
@conference{ 11568_686679,
title = {The CoLing Lab system for Sentiment Polarity Classification of tweets},
author = {Lucia Passaro and Gianluca Lebani and Laura Pollacci and Emmanuele Chersoni and Alessandro Lenci},
url = {http://clic.humnet.unipi.it/proceedings/vol2/clicit2014215.pdf},
doi = {10.12871/clicit2014215},
isbn = {9788867414727},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the Fourth International Workshop EVALITA 2014},
pages = {87–92},
publisher = {Pisa University Press},
address = {Pisa},
abstract = {This paper describes the CoLing Lab system for the EVALITA 2014 SENTIment POLarity Classification
(SENTIPOLC) task. Our system is based on a SVM classifier trained on the rich set of lexical, global and twitter-specific features described in these pages. Overall, our system reached a 0.63 weighted F-score on the test set provided by the task organizers.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
This paper describes the CoLing Lab system for the EVALITA 2014 SENTIment POLarity Classification
(SENTIPOLC) task. Our system is based on a SVM classifier trained on the rich set of lexical, global and twitter-specific features described in these pages. Overall, our system reached a 0.63 weighted F-score on the test set provided by the task organizers.
(SENTIPOLC) task. Our system is based on a SVM classifier trained on the rich set of lexical, global and twitter-specific features described in these pages. Overall, our system reached a 0.63 weighted F-score on the test set provided by the task organizers.
Santus, Enrico; Qin, Lu; Lenci, Alessandro; Huang, Chu Ren
Taking antonymy mask off in vector space Conference
Proceedings of the 28th Pacific Asia Conference on Language, Information, and Computation, Department of Linguistics, Faculty of Arts, Chulalongkorn University, Phuket, Thailand, 2014, ISBN: 978-616-551-887-1.
@conference{ 11568_761735,
title = {Taking antonymy mask off in vector space},
author = {Enrico Santus and Lu Qin and Alessandro Lenci and Chu Ren Huang},
url = {http://anthology.aclweb.org/Y/Y14/Y14-1018.pdf},
isbn = {978-616-551-887-1},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the 28th Pacific Asia Conference on Language, Information, and Computation},
pages = {135–144},
publisher = {Department of Linguistics, Faculty of Arts, Chulalongkorn University},
address = {Phuket, Thailand},
abstract = {Automatic detection of antonymy is an important task in Natural Language Processing (NLP) for Information Retrieval (IR), Ontology Learning (OL) and many other semantic applications. However, current unsupervised approaches to antonymy detection are still not fully effective because they cannot discriminate antonyms from synonyms. In this paper, we introduce APAnt, a new Average-Precision-based measure for the unsupervised discrimination of antonymy from synonymy using Distributional Semantic Models (DSMs). APAnt makes use of Average Precision to estimate the extent and salience of the intersection among the most descriptive contexts of two target words. Evaluation shows that the proposed method is able to distinguish antonyms and synonyms with high accuracy across different parts of speech, including nouns, adjectives and verbs. APAnt outperforms the vector cosine and a baseline model implementing the co-occurrence hypothesis.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Automatic detection of antonymy is an important task in Natural Language Processing (NLP) for Information Retrieval (IR), Ontology Learning (OL) and many other semantic applications. However, current unsupervised approaches to antonymy detection are still not fully effective because they cannot discriminate antonyms from synonyms. In this paper, we introduce APAnt, a new Average-Precision-based measure for the unsupervised discrimination of antonymy from synonymy using Distributional Semantic Models (DSMs). APAnt makes use of Average Precision to estimate the extent and salience of the intersection among the most descriptive contexts of two target words. Evaluation shows that the proposed method is able to distinguish antonyms and synonyms with high accuracy across different parts of speech, including nouns, adjectives and verbs. APAnt outperforms the vector cosine and a baseline model implementing the co-occurrence hypothesis.
Lenci, Alessandro; Lebani, Gianluca; Castagnoli, Sara; Masini, Francesca; Nissim, Malvina
SYMPAThy: Towards a comprehensive approach to the extraction of Italian Word Combinations Conference
Proceedings of the First Italian Conference on Computational Linguistics, Pisa University Press, Pisa, 2014, ISBN: 9788867414727.
@conference{ 11568_686676,
title = {SYMPAThy: Towards a comprehensive approach to the extraction of Italian Word Combinations},
author = {Alessandro Lenci and Gianluca Lebani and Sara Castagnoli and Francesca Masini and Malvina Nissim},
url = {http://clic.humnet.unipi.it/proceedings/vol1/CLICIT2014145.pdf},
doi = {10.12871/clicit2014145},
isbn = {9788867414727},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the First Italian Conference on Computational Linguistics},
pages = {234–238},
publisher = {Pisa University Press},
address = {Pisa},
abstract = {The paper presents SYMPAThy, a new approach to the extraction of Word Combinations. The approach is new in that it combines pattern-based (P-based) and syntax-based (S-based) methods in order to obtain an integrated and unified view of a lexeme’s combinatory potential.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
The paper presents SYMPAThy, a new approach to the extraction of Word Combinations. The approach is new in that it combines pattern-based (P-based) and syntax-based (S-based) methods in order to obtain an integrated and unified view of a lexeme’s combinatory potential.
Hernández, M.; Fairhall, S. L.; Lenci, Alessandro; Baroni, M.; Caramazza, A.
Predication drives verb cortical signatures Journal Article
In: JOURNAL OF COGNITIVE NEUROSCIENCE, vol. 26, no. 8, pp. 1829–1839, 2014.
@article{ 11568_536675,
title = {Predication drives verb cortical signatures},
author = {M. Hernández and S. L. Fairhall and Alessandro Lenci and M. Baroni and A. Caramazza},
url = {http://www.mitpressjournals.org/doi/abs/10.1162/jocn_a_00598#},
doi = {10.1162/jocn_a_00598},
year = {2014},
date = {2014-01-01},
journal = {JOURNAL OF COGNITIVE NEUROSCIENCE},
volume = {26},
number = {8},
pages = {1829–1839},
abstract = {Verbs and nouns are fundamental units of language, but their neural instantiation remains poorly understood. Neuropsychological research has shown that nouns and verbs can be damaged independently of each other, and neuroimaging research has found that several brain regions respond differentially to the two word classes. However, the semantic – lexical properties of verbs and nouns that drive these effects remain unknown. Here we show that the most likely candidate is predication: a core lexical feature involved in binding constituent arguments (boy, candies) into a unified syntactic – semantic structure expressing a proposition (the boy likes the candies). We used functional neuroimaging to test whether the intrinsic “predication-building” function of verbs is what drives the verb – noun distinction in the brain. We first identified verb-preferring regions with a localizer experiment including verbs and nouns. Then, we examined whether these regions are sensitive to transitivity — an index measuring its tendency to select for a direct object. Trans itivity is a verb-specific property lying at the core of its predication function. Neural activity in the left posterior middle temporal and inferior frontal gyri correlates with transitivity, indicating sensitivity to predication. This represents the first evidence that grammatical class preference in the brain is driven by a wordʼs function to build predication structures},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Verbs and nouns are fundamental units of language, but their neural instantiation remains poorly understood. Neuropsychological research has shown that nouns and verbs can be damaged independently of each other, and neuroimaging research has found that several brain regions respond differentially to the two word classes. However, the semantic – lexical properties of verbs and nouns that drive these effects remain unknown. Here we show that the most likely candidate is predication: a core lexical feature involved in binding constituent arguments (boy, candies) into a unified syntactic – semantic structure expressing a proposition (the boy likes the candies). We used functional neuroimaging to test whether the intrinsic “predication-building” function of verbs is what drives the verb – noun distinction in the brain. We first identified verb-preferring regions with a localizer experiment including verbs and nouns. Then, we examined whether these regions are sensitive to transitivity — an index measuring its tendency to select for a direct object. Trans itivity is a verb-specific property lying at the core of its predication function. Neural activity in the left posterior middle temporal and inferior frontal gyri correlates with transitivity, indicating sensitivity to predication. This represents the first evidence that grammatical class preference in the brain is driven by a wordʼs function to build predication structures
Zarcone, A.; Padó, S.; Lenci, Alessandro
Logical Metonymy Resolution in a Words-as-Cues Framework: Evidence From Self-Paced Reading and Probe Recognition Journal Article
In: COGNITIVE SCIENCE, vol. 38, no. 5, pp. 973–996, 2014.
@article{ 11568_536678,
title = {Logical Metonymy Resolution in a Words-as-Cues Framework: Evidence From Self-Paced Reading and Probe Recognition},
author = {A. Zarcone and S. Padó and Alessandro Lenci},
url = {http://onlinelibrary.wiley.com/doi/10.1111/cogs.12108/abstract},
doi = {10.1111/cogs.12108},
year = {2014},
date = {2014-01-01},
journal = {COGNITIVE SCIENCE},
volume = {38},
number = {5},
pages = {973–996},
abstract = {Logical metonymy resolution (begin a book -> begin reading a book or begin writing a book) has traditionally been explained either through complex lexical entries (qualia structures) or through the integration of the implicit event via post-lexical access to world knowledge. We propose that recent work within the words-as-cues paradigm can provide a more dynamic model of logical metonymy, accounting for early and dynamic integration of complex event information depending on previous contextual cues (agent and patient). We first present a self-paced reading experiment on German subordinate sentences, where metonymic sentences and their paraphrased version differ only in the presence or absence of the clause-final target verb (Der Konditor begann die Glasur -> Der Konditor begann, die Glasur aufzutragen /The baker began the icing -> The baker began spreading the icing ). Longer reading times at the target verb position in a high-typicality condition (baker + icing -> spread) compared to a low-typicality (but still plausible) condition (child + icing -> spread) suggest that we make use of knowledge activated by lexical cues to build expectations about events. The early and dynamic integration of event knowledge in metonymy interpretation is bolstered by further evidence from a second experiment using the probe recognition paradigm. Presenting covert events as probes following a high-typicality or a low-typicality metonymic sentence (Der Konditor begann die Glasur -> AUFTRAGEN /The baker began the icing -> SPREAD), we obtain an analogous effect of typicality at 100 ms interstimulus interval.},
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pubstate = {published},
tppubtype = {article}
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Logical metonymy resolution (begin a book -> begin reading a book or begin writing a book) has traditionally been explained either through complex lexical entries (qualia structures) or through the integration of the implicit event via post-lexical access to world knowledge. We propose that recent work within the words-as-cues paradigm can provide a more dynamic model of logical metonymy, accounting for early and dynamic integration of complex event information depending on previous contextual cues (agent and patient). We first present a self-paced reading experiment on German subordinate sentences, where metonymic sentences and their paraphrased version differ only in the presence or absence of the clause-final target verb (Der Konditor begann die Glasur -> Der Konditor begann, die Glasur aufzutragen /The baker began the icing -> The baker began spreading the icing ). Longer reading times at the target verb position in a high-typicality condition (baker + icing -> spread) compared to a low-typicality (but still plausible) condition (child + icing -> spread) suggest that we make use of knowledge activated by lexical cues to build expectations about events. The early and dynamic integration of event knowledge in metonymy interpretation is bolstered by further evidence from a second experiment using the probe recognition paradigm. Presenting covert events as probes following a high-typicality or a low-typicality metonymic sentence (Der Konditor begann die Glasur -> AUFTRAGEN /The baker began the icing -> SPREAD), we obtain an analogous effect of typicality at 100 ms interstimulus interval.
Sprugnoli, Rachele; Lenci, Alessandro
Crowdsourcing for the Identification of Event Nominals: An Experiment Conference
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), European Language Resources Association (ELRA), Parigi, 2014, ISBN: 978-2-9517408-8-4.
@conference{ 11568_761753,
title = {Crowdsourcing for the Identification of Event Nominals: An Experiment},
author = {Rachele Sprugnoli and Alessandro Lenci},
url = {http://www.lrec-conf.org/proceedings/lrec2014/pdf/1157_Paper.pdf},
isbn = {978-2-9517408-8-4},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
pages = {1949–1955},
publisher = {European Language Resources Association (ELRA)},
address = {Parigi},
abstract = {This paper presents the design and results of a crowdsourcing experiment on the recognition of Italian event nominals. The aim of the
experiment was to assess the feasibility of crowdsourcing methods for a complex semantic task such as distinguishing the eventive
interpretation of polysemous nominals taking into consideration various types of syntagmatic cues. Details on the theoretical background
and on the experiment set up are provided together with the final results in terms of accuracy and inter-annotator agreement. These
results are compared with the ones obtained by expert annotators on the same task. The low values in accuracy and Fleiss kappa of the
crowdsourcing experiment demonstrate that crowdsourcing is not always optimal for complex linguistic tasks. On the other hand, the
use of non-expert contributors allows to understand what are the most ambiguous patterns of polysemy and the most useful syntagmatic
cues to be used to identify the eventive reading of nominals.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
This paper presents the design and results of a crowdsourcing experiment on the recognition of Italian event nominals. The aim of the
experiment was to assess the feasibility of crowdsourcing methods for a complex semantic task such as distinguishing the eventive
interpretation of polysemous nominals taking into consideration various types of syntagmatic cues. Details on the theoretical background
and on the experiment set up are provided together with the final results in terms of accuracy and inter-annotator agreement. These
results are compared with the ones obtained by expert annotators on the same task. The low values in accuracy and Fleiss kappa of the
crowdsourcing experiment demonstrate that crowdsourcing is not always optimal for complex linguistic tasks. On the other hand, the
use of non-expert contributors allows to understand what are the most ambiguous patterns of polysemy and the most useful syntagmatic
cues to be used to identify the eventive reading of nominals.
experiment was to assess the feasibility of crowdsourcing methods for a complex semantic task such as distinguishing the eventive
interpretation of polysemous nominals taking into consideration various types of syntagmatic cues. Details on the theoretical background
and on the experiment set up are provided together with the final results in terms of accuracy and inter-annotator agreement. These
results are compared with the ones obtained by expert annotators on the same task. The low values in accuracy and Fleiss kappa of the
crowdsourcing experiment demonstrate that crowdsourcing is not always optimal for complex linguistic tasks. On the other hand, the
use of non-expert contributors allows to understand what are the most ambiguous patterns of polysemy and the most useful syntagmatic
cues to be used to identify the eventive reading of nominals.
Boschetti, Federico; Cimino, Andrea; Dell'Orletta, Felice; Lebani, Gianluca; Passaro, Lucia; Picchi, Paolo; Venturi, Giulia; Montemagni, Simonetta; Lenci, Alessandro
Proceedings of the LREC 2014 Workshop on Language resources and technologies for processing and linking historical documents and archives (LRT4HDA 2014), ELRA, 2014.
@conference{ 11568_686685,
title = {Computational Analysis of Historical Documents: An Application to Italian War Bulletins in World War I and II},
author = {Federico Boschetti and Andrea Cimino and Felice Dell'Orletta and Gianluca Lebani and Lucia Passaro and Paolo Picchi and Giulia Venturi and Simonetta Montemagni and Alessandro Lenci},
url = {http://www.lrec-conf.org/proceedings/lrec2014/workshops/LREC2014Workshop-LRT4HDA Proceedings.pdf},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the LREC 2014 Workshop on Language resources and technologies for processing and linking historical documents and archives (LRT4HDA 2014)},
pages = {70–75},
publisher = {ELRA},
abstract = {World War (WW) I and II represent crucial landmarks in the history on mankind: They have affected the destiny of whole generations and their consequences are still alive throughout Europe. In this paper we present an ongoing project to carry out a computational analysis of Italian war bulletins in WWI and WWII, by applying state-of-the-art tools for NLP and Information Extraction. The annotated texts and extracted information will be explored with a dedicated Web interface, allowing for multidimensional access and exploration of historical events through space and time.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
World War (WW) I and II represent crucial landmarks in the history on mankind: They have affected the destiny of whole generations and their consequences are still alive throughout Europe. In this paper we present an ongoing project to carry out a computational analysis of Italian war bulletins in WWI and WWII, by applying state-of-the-art tools for NLP and Information Extraction. The annotated texts and extracted information will be explored with a dedicated Web interface, allowing for multidimensional access and exploration of historical events through space and time.
Romeo, Lauren; Lebani, Gianluca; Bel, Nuria; Lenci, Alessandro
Choosing which to use? A study of distributional models for nominal lexical semantic classification Conference
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), European Language Resources Association (ELRA), 2014, ISBN: 9782951740884.
@conference{ 11568_686682,
title = {Choosing which to use? A study of distributional models for nominal lexical semantic classification},
author = {Lauren Romeo and Gianluca Lebani and Nuria Bel and Alessandro Lenci},
url = {http://www.lrec-conf.org/proceedings/lrec2014/pdf/583_Paper.pdf},
isbn = {9782951740884},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
pages = {4366–4373},
publisher = {European Language Resources Association (ELRA)},
abstract = {This paper empirically evaluates the performances of different state-of-the-art distributional models in a nominal lexical semantic classification task. We consider models that exploit various types of distributional features, which thereby provide different representations of nominal behavior in context. The experiments presented in this work demonstrate the advantages and disadvantages of each model considered. This analysis also considers a combined strategy that we found to be capable of leveraging the bottlenecks of each model, especially when large robust data is not available},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
This paper empirically evaluates the performances of different state-of-the-art distributional models in a nominal lexical semantic classification task. We consider models that exploit various types of distributional features, which thereby provide different representations of nominal behavior in context. The experiments presented in this work demonstrate the advantages and disadvantages of each model considered. This analysis also considers a combined strategy that we found to be capable of leveraging the bottlenecks of each model, especially when large robust data is not available
Santus, E.; Lenci, Alessandro; Lu, Q.; im Walde, S. Schulte
Chasing Hypernyms in Vector Spaces with Entropy Conference
Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, EACL (European chapter of the Association for Computational Linguistics), 2014, ISBN: 9781937284992.
@conference{ 11568_428270,
title = {Chasing Hypernyms in Vector Spaces with Entropy},
author = {E. Santus and Alessandro Lenci and Q. Lu and S. Schulte im Walde},
url = {http://www.aclweb.org/anthology/E/E14/E14-4008.pdf},
isbn = {9781937284992},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers},
pages = {38–42},
publisher = {EACL (European chapter of the Association for Computational Linguistics)},
abstract = {In this paper, we introduce SLQS, a new entropy-based measure for the unsupervised identification of hypernymy and its directionality in Distributional Semantic Models (DSMs). SLQS is assessed through two tasks: (i.) identifying the hypernym in hyponym-hypernym pairs, and (ii.) discriminating hypernymy among various semantic relations. In both tasks, SLQS outperforms other state-of-the-art measures.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
In this paper, we introduce SLQS, a new entropy-based measure for the unsupervised identification of hypernymy and its directionality in Distributional Semantic Models (DSMs). SLQS is assessed through two tasks: (i.) identifying the hypernym in hyponym-hypernym pairs, and (ii.) discriminating hypernymy among various semantic relations. In both tasks, SLQS outperforms other state-of-the-art measures.
Lenci, Alessandro
Carving verb classes from corpora Book Chapter
In: Word Classes: Nature, Typology and Representation, vol. 332, pp. 17–36, John Benjamins, Amsterdam, 2014, ISBN: 9789027248510.
@inbook{ 11568_735473,
title = {Carving verb classes from corpora},
author = {Alessandro Lenci},
url = {http://www.jbe-platform.com/content/books/9789027269768-02len},
doi = {10.1075/cilt.332 (book DOI)},
isbn = {9789027248510},
year = {2014},
date = {2014-01-01},
booktitle = {Word Classes: Nature, Typology and Representation},
volume = {332},
pages = {17–36},
publisher = {John Benjamins},
address = {Amsterdam},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
Lebani, Gianluca; Viola, Veronica; Lenci, Alessandro
Bootstrapping an Italian VerbNet: data-driven analysis of verb alternations Conference
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), European Language Resources Association (ELRA), 2014, ISBN: 9782951740884.
@conference{ 11568_686683,
title = {Bootstrapping an Italian VerbNet: data-driven analysis of verb alternations},
author = {Gianluca Lebani and Veronica Viola and Alessandro Lenci},
url = {http://www.lrec-conf.org/proceedings/lrec2014/pdf/541_Paper.pdf},
isbn = {9782951740884},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
pages = {1127–1134},
publisher = {European Language Resources Association (ELRA)},
abstract = {The goal of this paper is to propose a classification of the syntactic alternations admitted by the most frequent Italian verbs. The data-driven two-steps procedure exploited and the structure of the identified classes of alternations are presented in depth and discussed. Even if this classification has been developed with a practical application in mind, namely the semi-automatic building of a VerbNet-like lexicon for Italian verbs, partly following the methodology proposed in the context of the VerbNet project, its availability may have a positive impact on several related research topics and Natural Language Processing tasks.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
The goal of this paper is to propose a classification of the syntactic alternations admitted by the most frequent Italian verbs. The data-driven two-steps procedure exploited and the structure of the identified classes of alternations are presented in depth and discussed. Even if this classification has been developed with a practical application in mind, namely the semi-automatic building of a VerbNet-like lexicon for Italian verbs, partly following the methodology proposed in the context of the VerbNet project, its availability may have a positive impact on several related research topics and Natural Language Processing tasks.
2013
Lenci, Alessandro; Baroni, M.; Cazzolli, G.
Una prima analisi delle norme semantiche BLIND Book Chapter
In: Parlare senza vedere. Rappresentazioni semantiche nei non vedenti, pp. 83–93, ETS, Pisa, 2013, ISBN: 9788846736680.
@inbook{ 11568_238330,
title = {Una prima analisi delle norme semantiche BLIND},
author = {Alessandro Lenci and M. Baroni and G. Cazzolli},
isbn = {9788846736680},
year = {2013},
date = {2013-01-01},
booktitle = {Parlare senza vedere. Rappresentazioni semantiche nei non vedenti},
pages = {83–93},
publisher = {ETS},
address = {Pisa},
abstract = {L’obiettivo di questo capitolo è presentare una prima analisi dei dati raccolti nelle norme semantiche BLIND, alla luce del dibattito teorico sulla conoscenza dei non vedenti illustrato nel Capitolo 4. Al di là del suo carattere preliminare, essa rappresenta un esempio delle potenzialità di ricerca offerte dai dati disponibili in BLIND.},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
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L’obiettivo di questo capitolo è presentare una prima analisi dei dati raccolti nelle norme semantiche BLIND, alla luce del dibattito teorico sulla conoscenza dei non vedenti illustrato nel Capitolo 4. Al di là del suo carattere preliminare, essa rappresenta un esempio delle potenzialità di ricerca offerte dai dati disponibili in BLIND.
Utt, J.; Lenci, Alessandro; Pado, S.; Zarcone, A.
The Curious Case of Metonymic Verbs: A Distributional Characterization Conference
Proceedings of IWCS 2013 Workshop Towards a Formal Distributional Semantics, ACL (Association for Computational Linguistics), 2013, ISBN: 9781627483957.
@conference{ 11568_238335,
title = {The Curious Case of Metonymic Verbs: A Distributional Characterization},
author = {J. Utt and Alessandro Lenci and S. Pado and A. Zarcone},
url = {http://www.aclweb.org/anthology/W13-0604},
isbn = {9781627483957},
year = {2013},
date = {2013-01-01},
booktitle = {Proceedings of IWCS 2013 Workshop Towards a Formal Distributional Semantics},
pages = {30–39},
publisher = {ACL (Association for Computational Linguistics)},
abstract = {Logical metonymy combines an event-selecting verb with an entity-denoting noun (e.g.,The writer began the novel), triggering a covert event interpretation (e.g., reading, writing). Experimental investigations of logical metonymy must assume a binary distinction between metonymic (i.e. event-selecting) verbs and non-metonymic verbs to establish a control condition. However, this binary distinction (whether a verb is metonymic or not) is mostly made on intuitive grounds, which introduces a potential confounding factor.
We describe a corpus-based approach which characterizes verbs in terms of their behavior at the syntax-semantics interface. The model assesses the extent to which transitive verbs prefer event-denoting objects over entity-denoting objects. We then test this “eventhood” measure on
psycholinguistic datasets, showing that it can distinguish not only metonymic from non-metonymic
verbs, but that it can also capture more fine-grained distinctions among different classes of metonymic
verbs, putting such distinctions into a new graded perspective.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Logical metonymy combines an event-selecting verb with an entity-denoting noun (e.g.,The writer began the novel), triggering a covert event interpretation (e.g., reading, writing). Experimental investigations of logical metonymy must assume a binary distinction between metonymic (i.e. event-selecting) verbs and non-metonymic verbs to establish a control condition. However, this binary distinction (whether a verb is metonymic or not) is mostly made on intuitive grounds, which introduces a potential confounding factor.
We describe a corpus-based approach which characterizes verbs in terms of their behavior at the syntax-semantics interface. The model assesses the extent to which transitive verbs prefer event-denoting objects over entity-denoting objects. We then test this “eventhood” measure on
psycholinguistic datasets, showing that it can distinguish not only metonymic from non-metonymic
verbs, but that it can also capture more fine-grained distinctions among different classes of metonymic
verbs, putting such distinctions into a new graded perspective.
We describe a corpus-based approach which characterizes verbs in terms of their behavior at the syntax-semantics interface. The model assesses the extent to which transitive verbs prefer event-denoting objects over entity-denoting objects. We then test this “eventhood” measure on
psycholinguistic datasets, showing that it can distinguish not only metonymic from non-metonymic
verbs, but that it can also capture more fine-grained distinctions among different classes of metonymic
verbs, putting such distinctions into a new graded perspective.
Lenci, Alessandro; Baroni, Marco; Cazzolli, Giulia
Norme semantiche per lo studio del significato Book Chapter
In: Parlare senza vedere. Rappresentazioni semantiche nei non vedenti, pp. 67–81, ETS, Pisa, 2013, ISBN: 9788846736680.
@inbook{ 11568_238329,
title = {Norme semantiche per lo studio del significato},
author = {Alessandro Lenci and Marco Baroni and Giulia Cazzolli},
isbn = {9788846736680},
year = {2013},
date = {2013-01-01},
booktitle = {Parlare senza vedere. Rappresentazioni semantiche nei non vedenti},
pages = {67–81},
publisher = {ETS},
address = {Pisa},
abstract = {Le norme semantiche BLIND costituiscono una nuova risorsa di dati comportamentali liberamente accessibile, che permette di esplorare la distribuzione delle proprietà concettuali in persone vedenti e non vedenti, e di acquisire nuove prove per comprendere l’interazione tra l’esperienza sensoriale e il linguaggio nella formazione dei concetti. Dopo aver discusso alcuni aspetti riguardanti le ricerche sulla cognizione nei non vedenti e sulle norme semantiche, in questo capitolo descriveremo nel dettaglio la metodologia utilizzata per la creazione delle norme BLIND. Nel Capitolo 5, presenteremo alcune prime analisi delle proprietà nelle norme BLIND. Il quadro che emerge rivelerà somiglianze straordinarie tra vedenti e non vedenti, affiancate tuttavia da differenze significative.},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
Le norme semantiche BLIND costituiscono una nuova risorsa di dati comportamentali liberamente accessibile, che permette di esplorare la distribuzione delle proprietà concettuali in persone vedenti e non vedenti, e di acquisire nuove prove per comprendere l’interazione tra l’esperienza sensoriale e il linguaggio nella formazione dei concetti. Dopo aver discusso alcuni aspetti riguardanti le ricerche sulla cognizione nei non vedenti e sulle norme semantiche, in questo capitolo descriveremo nel dettaglio la metodologia utilizzata per la creazione delle norme BLIND. Nel Capitolo 5, presenteremo alcune prime analisi delle proprietà nelle norme BLIND. Il quadro che emerge rivelerà somiglianze straordinarie tra vedenti e non vedenti, affiancate tuttavia da differenze significative.
Lenci, Alessandro
Linguistica computazionale Book Chapter
In: La linguistica italiana all'alba del terzo millennio, vol. II, pp. 917–940, BULZONI EDITORE, Roma, 2013, ISBN: 9788878709089.
@inbook{ 11568_536671,
title = {Linguistica computazionale},
author = {Alessandro Lenci},
isbn = {9788878709089},
year = {2013},
date = {2013-01-01},
booktitle = {La linguistica italiana all'alba del terzo millennio},
volume = {II},
pages = {917–940},
publisher = {BULZONI EDITORE},
address = {Roma},
abstract = {La prima decade del nuovo millennio è stata caratterizzata da un lato da un ampio diffondersi della linguistica computazionale in Italia e dall’altro dall’affermarsi della linguistica computazionale italiana sulla scena internazionale. Le attività di ricerca in questo ambito sono dunque state estremamente ricche ed articolate, in un settore che già per sua natura si presenta come fortemente multidisciplinare. L’obiettivo di questo contributo è di delineare le tendenze principali che hanno contraddistinto le attività della linguistica computazionale italiana in questo decennio.},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
La prima decade del nuovo millennio è stata caratterizzata da un lato da un ampio diffondersi della linguistica computazionale in Italia e dall’altro dall’affermarsi della linguistica computazionale italiana sulla scena internazionale. Le attività di ricerca in questo ambito sono dunque state estremamente ricche ed articolate, in un settore che già per sua natura si presenta come fortemente multidisciplinare. L’obiettivo di questo contributo è di delineare le tendenze principali che hanno contraddistinto le attività della linguistica computazionale italiana in questo decennio.
Zarcone, A.; Lenci, Alessandro; Pado, S.; Utt, J.
Fitting, Not Clashing! A Distributional Semantic Model of Logical Metonymy Conference
Proceedings of the 10th International Conference on Computational Semantics (IWCS 2013), ACL (Association for Computational Linguistics), 2013, ISBN: 9781627483957.
@conference{ 11568_238332,
title = {Fitting, Not Clashing! A Distributional Semantic Model of Logical Metonymy},
author = {A. Zarcone and Alessandro Lenci and S. Pado and J. Utt},
url = {http://aclweb.org/anthology/W/W13/W13-0216.pdf},
isbn = {9781627483957},
year = {2013},
date = {2013-01-01},
booktitle = {Proceedings of the 10th International Conference on Computational Semantics (IWCS 2013)},
pages = {404–410},
publisher = {ACL (Association for Computational Linguistics)},
abstract = {Logical metonymy interpretation (e.g. begin the book ->writing) has received wide attention in linguistics. Experimental results have shown higher processing costs for metonymic conditions compared with non-metonymic ones (
read the book). According to a widely held interpretation, it is
the type clash between the event-selecting verb and the entity-denoting object (begin the book) that triggers coercion mechanisms and leads to additional processing effort. We propose an alternative explanation and argue that the extra processing effort is an effect of thematic fit. This is a more
economical hypothesis that does not need to postulate a separate type clash mechanism: entity-denoting objects simply have a low fit as objects of event-selecting verbs. We test linguistic datasets from psycholinguistic experiments and find that a structured distributional model of thematic fit,
which does not encode any explicit argument type information, is able to replicate all significant experimental findings. This result provides evidence for a graded account of coercion phenomena in which thematic fit accounts for both the trigger of the coercion and the retrieval of the covert event},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Logical metonymy interpretation (e.g. begin the book ->writing) has received wide attention in linguistics. Experimental results have shown higher processing costs for metonymic conditions compared with non-metonymic ones (
read the book). According to a widely held interpretation, it is
the type clash between the event-selecting verb and the entity-denoting object (begin the book) that triggers coercion mechanisms and leads to additional processing effort. We propose an alternative explanation and argue that the extra processing effort is an effect of thematic fit. This is a more
economical hypothesis that does not need to postulate a separate type clash mechanism: entity-denoting objects simply have a low fit as objects of event-selecting verbs. We test linguistic datasets from psycholinguistic experiments and find that a structured distributional model of thematic fit,
which does not encode any explicit argument type information, is able to replicate all significant experimental findings. This result provides evidence for a graded account of coercion phenomena in which thematic fit accounts for both the trigger of the coercion and the retrieval of the covert event
read the book). According to a widely held interpretation, it is
the type clash between the event-selecting verb and the entity-denoting object (begin the book) that triggers coercion mechanisms and leads to additional processing effort. We propose an alternative explanation and argue that the extra processing effort is an effect of thematic fit. This is a more
economical hypothesis that does not need to postulate a separate type clash mechanism: entity-denoting objects simply have a low fit as objects of event-selecting verbs. We test linguistic datasets from psycholinguistic experiments and find that a structured distributional model of thematic fit,
which does not encode any explicit argument type information, is able to replicate all significant experimental findings. This result provides evidence for a graded account of coercion phenomena in which thematic fit accounts for both the trigger of the coercion and the retrieval of the covert event
Basili, Roberto; Cao, Diego De; Lenci, Alessandro; Moschitti, Alessandro; Venturi, Giulia
EvalIta 2011: The frame labeling over Italian texts task Conference
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7689, 2013.
@conference{ 11568_1288247,
title = {EvalIta 2011: The frame labeling over Italian texts task},
author = {Roberto Basili and Diego De Cao and Alessandro Lenci and Alessandro Moschitti and Giulia Venturi},
doi = {10.1007/978-3-642-35828-9_21},
year = {2013},
date = {2013-01-01},
booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {7689},
pages = {195–204},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Lenci, Alessandro; Baroni, Marco; Cazzolli, Giulia; Marotta, Giovanna
BLIND: a set of semantic feature norms from the congenitally blind Journal Article
In: BEHAVIOR RESEARCH METHODS, vol. 45, no. 4, pp. 1218–1233, 2013.
@article{ 11568_228132,
title = {BLIND: a set of semantic feature norms from the congenitally blind},
author = {Alessandro Lenci and Marco Baroni and Giulia Cazzolli and Giovanna Marotta},
url = {http://link.springer.com/article/10.3758%2Fs13428-013-0323-4},
doi = {10.3758/s13428-013-0323-4},
year = {2013},
date = {2013-01-01},
journal = {BEHAVIOR RESEARCH METHODS},
volume = {45},
number = {4},
pages = {1218–1233},
abstract = {Feature-based descriptions of concepts produced by subjects in a property generation task are widely used in cognitive science to develop empirically grounded concept representations and to study systematic trends in such repre- sentations. This article introduces BLIND, a collection of parallel semantic norms collected from a group of congenital- ly blind Italian subjects and comparable sighted subjects. The BLIND norms comprise descriptions of 50 nouns and 20 verbs. All the materials have been semantically annotated and translated into English, to make them easily accessible to the scientific community. The article also presents a pre- liminary analysis of the BLIND data that highlights both the large degree of overlap between the groups and interesting differences. The complete BLIND norms are freely available and can be downloaded from http://sesia.humnet.unipi.it/ blind_data.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Feature-based descriptions of concepts produced by subjects in a property generation task are widely used in cognitive science to develop empirically grounded concept representations and to study systematic trends in such repre- sentations. This article introduces BLIND, a collection of parallel semantic norms collected from a group of congenital- ly blind Italian subjects and comparable sighted subjects. The BLIND norms comprise descriptions of 50 nouns and 20 verbs. All the materials have been semantically annotated and translated into English, to make them easily accessible to the scientific community. The article also presents a pre- liminary analysis of the BLIND data that highlights both the large degree of overlap between the groups and interesting differences. The complete BLIND norms are freely available and can be downloaded from http://sesia.humnet.unipi.it/ blind_data.
2012
Batiukova, O.; Bertinetto, P. M.; Lenci, Alessandro; Zarcone, A.
Semantic priming study of Russian aspect and resultativity Book Chapter
In: The Russian Verb, vol. 4, pp. 177–206, University of Oslo, Oslo, 2012.
@inbook{ 11568_155209,
title = {Semantic priming study of Russian aspect and resultativity},
author = {O. Batiukova and P. M. Bertinetto and Alessandro Lenci and A. Zarcone},
url = {https://www.journals.uio.no/index.php/osla/article/view/148},
year = {2012},
date = {2012-01-01},
booktitle = {The Russian Verb},
volume = {4},
pages = {177–206},
publisher = {University of Oslo},
address = {Oslo},
abstract = {This paper reports four priming experiments, in which resultative, processual, and delimitative Russian verbs were tested. The experiments were based on the semantic decision task: the participants had to decide whether the target denoted an event / situation with a clear outcome. To assess the impact of morphological cues on the decision latencies, verbs of different morphological complexity (prefixed and unprefixed perfectives) were used. The results obtained suggest that the aspectual feature of resultativity is consistently exploited in semantic priming (processual targets were primed in two experiments), and that the morphological cues facilitate the identification of resultative targets (prefixed perfectives exhibited faster decision latencies than unprefixed perfectives). As far as the delimitative forms are concerned, a category-induction experiment was designed to investigate the subjects’ tendency to group them with resultatives or with processuals, since the delimitatives represent an in-between category. The proportion of yes/no answers confirmed that the speakers place the delimitatives between these two domains, but much closer to the processuals than to the resultatives. These findings support the distinction of boundedness vs. telicity from both the theoretical and the behavioural perspective. The fact that the resultative interpretation of the delimitatives was not ruled out completely for most verbs suggests that, when certain conditions are met (when no cognate resultative form is readily available and when the delimitative is frequent enough), the delimitative can be conceptualized as the perfective counterpart of the basic imperfective, thus taking on the prototypical perfective role (resultativity).},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
This paper reports four priming experiments, in which resultative, processual, and delimitative Russian verbs were tested. The experiments were based on the semantic decision task: the participants had to decide whether the target denoted an event / situation with a clear outcome. To assess the impact of morphological cues on the decision latencies, verbs of different morphological complexity (prefixed and unprefixed perfectives) were used. The results obtained suggest that the aspectual feature of resultativity is consistently exploited in semantic priming (processual targets were primed in two experiments), and that the morphological cues facilitate the identification of resultative targets (prefixed perfectives exhibited faster decision latencies than unprefixed perfectives). As far as the delimitative forms are concerned, a category-induction experiment was designed to investigate the subjects’ tendency to group them with resultatives or with processuals, since the delimitatives represent an in-between category. The proportion of yes/no answers confirmed that the speakers place the delimitatives between these two domains, but much closer to the processuals than to the resultatives. These findings support the distinction of boundedness vs. telicity from both the theoretical and the behavioural perspective. The fact that the resultative interpretation of the delimitatives was not ruled out completely for most verbs suggests that, when certain conditions are met (when no cognate resultative form is readily available and when the delimitative is frequent enough), the delimitative can be conceptualized as the perfective counterpart of the basic imperfective, thus taking on the prototypical perfective role (resultativity).
Baroni, M.; Lenci, Alessandro
Semantic feature norms for congenital blind subjects Journal Article
In: INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, vol. 85, no. 3, pp. 328–329, 2012.
@article{ 11568_154810,
title = {Semantic feature norms for congenital blind subjects},
author = {M. Baroni and Alessandro Lenci},
year = {2012},
date = {2012-01-01},
journal = {INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY},
volume = {85},
number = {3},
pages = {328–329},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Lenci, Alessandro
LexIt: Profili distribuzionali di parole italiane (http://sesia.humnet.unipi.it/lexit) Miscellaneous
2012.
@misc{ 11568_153863,
title = {LexIt: Profili distribuzionali di parole italiane (http://sesia.humnet.unipi.it/lexit)},
author = {Alessandro Lenci},
url = {http://sesia.humnet.unipi.it/lexit},
year = {2012},
date = {2012-01-01},
abstract = {LexIt is a website to explore distributional profiles of Italian nouns, verbs and adjectives. LexIt distributional profiles contain a vast array of statistical information, automatically extracted from corpora with state-of-the-art computational linguistic methods:
syntactic slots (subject, complements, modifiers, etc.) and combinations of slots (frames) with which words co-occur;
lexical sets containing the fillers realizing the syntactic slot;
semantic classes to describe the selectional preferences of the syntactic slots.
Thanks to the statistical data associated with the information in LexIt, it is possible to analyze the combinatorial properties of lexical items and the argument structure of predicates, by identifying their most salient and prototypical distributional features.},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
LexIt is a website to explore distributional profiles of Italian nouns, verbs and adjectives. LexIt distributional profiles contain a vast array of statistical information, automatically extracted from corpora with state-of-the-art computational linguistic methods:
syntactic slots (subject, complements, modifiers, etc.) and combinations of slots (frames) with which words co-occur;
lexical sets containing the fillers realizing the syntactic slot;
semantic classes to describe the selectional preferences of the syntactic slots.
Thanks to the statistical data associated with the information in LexIt, it is possible to analyze the combinatorial properties of lexical items and the argument structure of predicates, by identifying their most salient and prototypical distributional features.
syntactic slots (subject, complements, modifiers, etc.) and combinations of slots (frames) with which words co-occur;
lexical sets containing the fillers realizing the syntactic slot;
semantic classes to describe the selectional preferences of the syntactic slots.
Thanks to the statistical data associated with the information in LexIt, it is possible to analyze the combinatorial properties of lexical items and the argument structure of predicates, by identifying their most salient and prototypical distributional features.
Lenci, Alessandro; Lapesa, G.; Bonansinga, G.
LexIt: A Computational Resource on Italian Argument Structure Conference
Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC’12), ELRA/ELDA, 2012, ISBN: 9782951740877.
@conference{ 11568_156513,
title = {LexIt: A Computational Resource on Italian Argument Structure},
author = {Alessandro Lenci and G. Lapesa and G. Bonansinga},
url = {http://www.lrec-conf.org/proceedings/lrec2012/pdf/622_Paper.pdf},
isbn = {9782951740877},
year = {2012},
date = {2012-01-01},
booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC’12)},
pages = {3712–3718},
publisher = {ELRA/ELDA},
abstract = {The aim of this paper is to introduce LexIt, a computational framework for the automatic acquisition and exploration of distributional information about Italian verbs, nouns and adjectives, freely available through a web interface at the address http://sesia.humnet.unipi.it/lexit. LexIt is the first large-scale resource for Italian in which subcategorization and semantic selec- tion properties are characterized fully on distributional ground: in the paper we describe both the process of data extraction and the evaluation of the subcategorization frames extracted with LexIt.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
The aim of this paper is to introduce LexIt, a computational framework for the automatic acquisition and exploration of distributional information about Italian verbs, nouns and adjectives, freely available through a web interface at the address http://sesia.humnet.unipi.it/lexit. LexIt is the first large-scale resource for Italian in which subcategorization and semantic selec- tion properties are characterized fully on distributional ground: in the paper we describe both the process of data extraction and the evaluation of the subcategorization frames extracted with LexIt.
Zarcone, A.; Pado, S.; Lenci, Alessandro
Inferring Covert Events in Logical Metonymies: a Probe Recognition Experiment Conference
Proceedings of the 34th Annual Conference of the Cognitive Science Society, Cognitive Science Society, 2012, ISBN: 9780976831884.
@conference{ 11568_154183,
title = {Inferring Covert Events in Logical Metonymies: a Probe Recognition Experiment},
author = {A. Zarcone and S. Pado and Alessandro Lenci},
url = {http://mindmodeling.org/cogsci2012/papers/0217/paper0217.pdf},
isbn = {9780976831884},
year = {2012},
date = {2012-01-01},
booktitle = {Proceedings of the 34th Annual Conference of the Cognitive Science Society},
pages = {1215–1220},
publisher = {Cognitive Science Society},
abstract = {It has been widely acknowledged that the interpretation of log- ical metonymies involves the interpretation of covert events (begin the book → reading / writing). Whether this implicit content is part of our lexicon or rather derives from general pragmatic inference, it is currently subject of debate. We present results from a probe recognition experiment, providing novel evidence in support of early metonymy processing, consistent with the hypothesis that covert events are retrieved from knowledge of typical events activated by lexical items.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
It has been widely acknowledged that the interpretation of log- ical metonymies involves the interpretation of covert events (begin the book → reading / writing). Whether this implicit content is part of our lexicon or rather derives from general pragmatic inference, it is currently subject of debate. We present results from a probe recognition experiment, providing novel evidence in support of early metonymy processing, consistent with the hypothesis that covert events are retrieved from knowledge of typical events activated by lexical items.
Lenci, Alessandro; Benotto, Giulia
Identifying hypernyms in distributional semantic spaces Conference
Proceedings of *SEM 2012: The First Joint Conference on Lexical and Computational Semantics - Volume 1, Association for Computational Linguistics, 2012, ISBN: 9781937284213.
@conference{ 11568_154184,
title = {Identifying hypernyms in distributional semantic spaces},
author = {Alessandro Lenci and Giulia Benotto},
url = {http://aclweb.org/anthology-new/S/S12/S12-1012.pdf},
isbn = {9781937284213},
year = {2012},
date = {2012-01-01},
booktitle = {Proceedings of *SEM 2012: The First Joint Conference on Lexical and Computational Semantics - Volume 1},
pages = {75–79},
publisher = {Association for Computational Linguistics},
abstract = {In this paper we apply existing directional similarity measures to identify hypernyms with a state-of-the-art distributional semantic model. We also propose a new directional measure that achieves the best performance in hypernym identification.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
In this paper we apply existing directional similarity measures to identify hypernyms with a state-of-the-art distributional semantic model. We also propose a new directional measure that achieves the best performance in hypernym identification.
Bertinetto, P. M.; Lenci, Alessandro
Habituality, pluractionality and imperfectivity Book Chapter
In: Oxford Handbook of Tense and Aspect, pp. 852–880, Oxford University Press, OXFORD, 2012, ISBN: 9780195381979.
@inbook{ 11568_158321,
title = {Habituality, pluractionality and imperfectivity},
author = {P. M. Bertinetto and Alessandro Lenci},
url = {http://www.oxfordhandbooks.com/view/10.1093/oxfordhb/9780195381979.001.0001/oxfordhb-9780195381979-e-30},
doi = {10.1093/oxfordhb/9780195381979.013.0030},
isbn = {9780195381979},
year = {2012},
date = {2012-01-01},
booktitle = {Oxford Handbook of Tense and Aspect},
pages = {852–880},
publisher = {Oxford University Press},
address = {OXFORD},
abstract = {Habituality, as commonly conceived, presupposes a more or less regular iteration of an event, such that the resulting habit is regarded as a characterizing property of a given referent. The notion of habituality is thus strictly related to iterativity, although the two should not be confused. In this chapter we aim to define the respective features of habit- uality and iterativity and to place them in the framework of the broader notion of “ver- bal pluractionality” on the one side, and of “gnomic imperfectivity” on the other side.},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
Habituality, as commonly conceived, presupposes a more or less regular iteration of an event, such that the resulting habit is regarded as a characterizing property of a given referent. The notion of habituality is thus strictly related to iterativity, although the two should not be confused. In this chapter we aim to define the respective features of habit- uality and iterativity and to place them in the framework of the broader notion of “ver- bal pluractionality” on the one side, and of “gnomic imperfectivity” on the other side.
Lenci, Alessandro; Montemagni, S.; Venturi, G.; Cutrulla', M. G.
Enriching the ISST-TANL Corpus with Semantic Frames Conference
Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC’12), ELRA/ELDA, 2012, ISBN: 9782951740877.
@conference{ 11568_154185,
title = {Enriching the ISST-TANL Corpus with Semantic Frames},
author = {Alessandro Lenci and S. Montemagni and G. Venturi and M. G. Cutrulla'},
url = {http://www.lrec-conf.org/proceedings/lrec2012/pdf/986_Paper.pdf},
isbn = {9782951740877},
year = {2012},
date = {2012-01-01},
booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC’12)},
pages = {3719–3726},
publisher = {ELRA/ELDA},
abstract = {The paper describes the design and the results of a manual annotation methodology devoted to enrich the ISST–TANL Corpus with Semantic Frames information. The main issues encountered in applying the English FrameNet annotation criteria to a corpus of Italian language are discussed together with the choice of anchoring the semantic annotation layer to the underlying dependency syntactic structure. We also describe an experiment to measure inter-annotator agreement and a first case study to extend and specialise FrameNet annotation to a corpus of legislative texts.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
The paper describes the design and the results of a manual annotation methodology devoted to enrich the ISST–TANL Corpus with Semantic Frames information. The main issues encountered in applying the English FrameNet annotation criteria to a corpus of Italian language are discussed together with the choice of anchoring the semantic annotation layer to the underlying dependency syntactic structure. We also describe an experiment to measure inter-annotator agreement and a first case study to extend and specialise FrameNet annotation to a corpus of legislative texts.
Frassinelli, D.; Lenci, Alessandro
Concepts in context: Evidence from a feature-norming study Conference
Proceedings of the 34th Annual Conference of the Cognitive Science Society, Cognitive Science Society, 2012, ISBN: 9780976831884.
@conference{ 11568_155828,
title = {Concepts in context: Evidence from a feature-norming study},
author = {D. Frassinelli and Alessandro Lenci},
url = {http://mindmodeling.org/cogsci2012/papers/0277/paper0277.pdf},
isbn = {9780976831884},
year = {2012},
date = {2012-01-01},
booktitle = {Proceedings of the 34th Annual Conference of the Cognitive Science Society},
pages = {1567–1571},
publisher = {Cognitive Science Society},
abstract = {Concepts are typically conceived as context-free knowledge structures. Recently, a different view has emerged according to which subjects produce situation-specific conceptualizations, thereby raising important questions about the level of contextual dependency in conceptual representations. In this paper, we present a feature-norming study in which subjects are asked to generate properties of concepts presented in context. Collected data are analysed to investigate the actual amount of conceptual variation induced by contexts and the effect of context modality.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
Concepts are typically conceived as context-free knowledge structures. Recently, a different view has emerged according to which subjects produce situation-specific conceptualizations, thereby raising important questions about the level of contextual dependency in conceptual representations. In this paper, we present a feature-norming study in which subjects are asked to generate properties of concepts presented in context. Collected data are analysed to investigate the actual amount of conceptual variation induced by contexts and the effect of context modality.
Handjaras, G.; Ricciardi, Emiliano; Lenci, Alessandro; Leo, Andrea; Cecchetti, L.; Marotta, Giovanna; Pietrini, Pietro
Brain modeling of noun representations in sighted and blind individuals Journal Article
In: INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, vol. 85, no. 3, pp. 329–329, 2012.
@article{ 11568_152060,
title = {Brain modeling of noun representations in sighted and blind individuals},
author = {G. Handjaras and Emiliano Ricciardi and Alessandro Lenci and Andrea Leo and L. Cecchetti and Giovanna Marotta and Pietro Pietrini},
url = {http://www.sciencedirect.com/science/article/pii/S0167876012002747},
doi = {10.1016/j.ijpsycho.2012.06.109},
year = {2012},
date = {2012-01-01},
journal = {INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY},
volume = {85},
number = {3},
pages = {329–329},
abstract = {Computational modeling for neural decoding of activation patterns in blight and sighted subjects},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Computational modeling for neural decoding of activation patterns in blight and sighted subjects
Lenci, Alessandro
Argument alternations in Italian verbs: A computational study Conference
Linguaggio e cervello - Semantica / Language and the brain - Semantics, Atti del XLII Convegno della Società di Linguistica Italiana, 2012, ISBN: 9788878706521.
@conference{ 11568_157077,
title = {Argument alternations in Italian verbs: A computational study},
author = {Alessandro Lenci},
isbn = {9788878706521},
year = {2012},
date = {2012-01-01},
booktitle = {Linguaggio e cervello - Semantica / Language and the brain - Semantics, Atti del XLII Convegno della Società di Linguistica Italiana},
abstract = {The aim of this paper is to carry out a computational investigation of argument alternations in Italian, using Natural Language Processing (NLP) and corpus-based methods. This research is part of a long term project with the twofold goal of using (mainly) corpus-derived information to draw a “map” of argument alternations in Italian, and defining semantic classes of verbs on the grounds of their distributional properties. Here, we will focus on a particular type of argument alternations in Italian: object/oblique alternations.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
The aim of this paper is to carry out a computational investigation of argument alternations in Italian, using Natural Language Processing (NLP) and corpus-based methods. This research is part of a long term project with the twofold goal of using (mainly) corpus-derived information to draw a “map” of argument alternations in Italian, and defining semantic classes of verbs on the grounds of their distributional properties. Here, we will focus on a particular type of argument alternations in Italian: object/oblique alternations.
Marotta, Giovanna; Lenci, Alessandro; Donati, M.
An XML Annotation Scheme for Space in an Italian Corpus Conference
Proceedings of the ISA-7 Workshop on Interoperable Semantic Annotation, ELRA/ELDA, 2012, ISBN: 9782951740877.
@conference{ 11568_158115,
title = {An XML Annotation Scheme for Space in an Italian Corpus},
author = {Giovanna Marotta and Alessandro Lenci and M. Donati},
isbn = {9782951740877},
year = {2012},
date = {2012-01-01},
booktitle = {Proceedings of the ISA-7 Workshop on Interoperable Semantic Annotation},
pages = {37–44},
publisher = {ELRA/ELDA},
abstract = {The new resource we present consists of a corpus of oral spatial descriptions performed by congenital blind and sighted Italian subjects. The collection of the data is part of a wider project on semantic representations in the language of the blind, carried out at the Department of Linguistics, University of Pisa. The long term goal of the project is to use the evidence collected on congenital blind subjects to get at a better understanding of the relationship between linguistic and perceptive information. The corpus is currently being enhanced with different layers of annotation, focusing on spatial information. The annotation allows us to highlight the effect of the specific lexical and grammatical features of Italian on the encoding of space (e.g. with respect to the way spatial relations are encoded in motion verbs). Our resource is not only one of the few annotated corpora of spoken Italian, but it is also the first one that focuses on spatial categories.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
The new resource we present consists of a corpus of oral spatial descriptions performed by congenital blind and sighted Italian subjects. The collection of the data is part of a wider project on semantic representations in the language of the blind, carried out at the Department of Linguistics, University of Pisa. The long term goal of the project is to use the evidence collected on congenital blind subjects to get at a better understanding of the relationship between linguistic and perceptive information. The corpus is currently being enhanced with different layers of annotation, focusing on spatial information. The annotation allows us to highlight the effect of the specific lexical and grammatical features of Italian on the encoding of space (e.g. with respect to the way spatial relations are encoded in motion verbs). Our resource is not only one of the few annotated corpora of spoken Italian, but it is also the first one that focuses on spatial categories.
2011
Johnson, Martina; Lenci, Alessandro
Verbs of visual perception in Italian FrameNet Journal Article
In: CONSTRUCTIONS AND FRAMES, vol. 3, no. 1, pp. 9–45, 2011.
@article{ 11568_145499,
title = {Verbs of visual perception in Italian FrameNet},
author = {Martina Johnson and Alessandro Lenci},
year = {2011},
date = {2011-01-01},
journal = {CONSTRUCTIONS AND FRAMES},
volume = {3},
number = {1},
pages = {9–45},
abstract = {In this paper, we present a frame semantic analysis of a small group of Italian verbs expressing visual perception, which constitutes the first stage of a project for developing an Italian FrameNet. Our results show a close correspondence between English and Italian perception-related frames. The main element of novelty in our approach is that the creation and annotation of Lexical Units is grounded in distributional information automatically acquired from a large, dependency-parsed corpus, which is balanced against the annotator’s linguistic intuition. We claim that this can help to overcome some of the shortcomings of the classical lexicographic method used to create FrameNet.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
In this paper, we present a frame semantic analysis of a small group of Italian verbs expressing visual perception, which constitutes the first stage of a project for developing an Italian FrameNet. Our results show a close correspondence between English and Italian perception-related frames. The main element of novelty in our approach is that the creation and annotation of Lexical Units is grounded in distributional information automatically acquired from a large, dependency-parsed corpus, which is balanced against the annotator’s linguistic intuition. We claim that this can help to overcome some of the shortcomings of the classical lexicographic method used to create FrameNet.
Baroni, M.; Lenci, Alessandro
How we BLESSed distributional semantic evaluation Conference
Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural Language Semantics, 2011, ISBN: 1937284166.
@conference{ 11568_147446,
title = {How we BLESSed distributional semantic evaluation},
author = {M. Baroni and Alessandro Lenci},
url = {http://aclweb.org/anthology/W/W11/W11-2501.pdf},
isbn = {1937284166},
year = {2011},
date = {2011-01-01},
booktitle = {Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural Language Semantics},
pages = {1–10},
abstract = {We introduce BLESS, a data set specifically designed for the evaluation of distributional semantic models. BLESS contains a set of tuples instantiating different, explicitly typed semantic relations, plus a number of controlled random tuples. It is thus possible to assess the ability of a model to detect truly related word pairs, as well as to perform in-depth analyses of the types of semantic relations that a model favors. We discuss the motivations for BLESS, describe its construction and structure, and present examples of its usage in the evaluation of distributional semantic models.},
keywords = {},
pubstate = {published},
tppubtype = {conference}
}
We introduce BLESS, a data set specifically designed for the evaluation of distributional semantic models. BLESS contains a set of tuples instantiating different, explicitly typed semantic relations, plus a number of controlled random tuples. It is thus possible to assess the ability of a model to detect truly related word pairs, as well as to perform in-depth analyses of the types of semantic relations that a model favors. We discuss the motivations for BLESS, describe its construction and structure, and present examples of its usage in the evaluation of distributional semantic models.