Eva Maria Vecchi's Homepage
Welcome to my homepage! I am currently a Research Associate in the IMS group of the University of Stuttgart, working on the E-DELIB Project.
Distributional Semantics; Formal Semantics; Compositionality; Meaning Representation; Corpus-based Natural Language Processing; Acquisition of Semantic Knowledge; Argument Mining
Ph.D. in Cognitive and Brain Sciences. Center for Brain and Mind Sciences (CIMeC), Università di Trento, Rovereto (TN) Italy. December 2013.
M.Sc. in Linguistics. Georgetown University, Washington DC, USA. May 2007.
B.A. in Linguistics. University of Colorado at Boulder, Boulder, CO, USA. May 2005.
E.M. Vecchi, M. Marelli, R. Zamparelli and M. Baroni. 2017. Spicy adjectives and nominal donkeys: Capturing semantic deviance using compositionality in distributional spaces. Cognitive Science 41(1): 102-136. [pdf] [bib] [datasets]
Conference and Workshop Publications
E.M. Vecchi, N. Falk, I. Jundi, and G. Lapesa. 2021. Towards argument mining for social good: A survey. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) . Bangkok, Thailand. [pdf] [bib]
N. Falk, I. Jundi, E.M. Vecchi, and G. Lapesa. 2021. Predicting Moderation of Deliberative Arguments: Is Argument Quality the Key? In Proceedings of the 8th Workshop on Argument Mining. Punta Cana, Dominican Republic. [pdf] [bib]
L. Rimell and E.M. Vecchi. 2016. SLEDDED: A Proposed Dataset of Event Descriptions for Evaluating Phrase Representations. In Proceedings of the 2016 ACL Workshop on Evaluating Vector Space Representations for NLP (RepEval 2016). Berlin, Germany. [pdf] [bib]
A. Herbelot and E.M. Vecchi. 2015. Building a shared world: Mapping distributional to model-theoretic semantic spaces. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing. Lisbon, Portugal. *Honorable Mention for Best Paper Award* [pdf] [bib]
L. Fǎgǎrǎşan, E.M. Vecchi and S. Clark. 2015. From distributional semantics to feature norms: grounding semantic models in human perceptual data. In Proceedings of the 11th International Conference on Computational Semantics (IWCS 2015). London, UK. [pdf] [bib]
E.M. Vecchi, R. Zamparelli and M. Baroni. 2013. Studying the recursive behaviour of adjectival modification with compositional distributional semantics. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (pp. 141-151). Seattle, WA. [pdf] [bib]
A. Lazaridou, E.M. Vecchi and M. Baroni. 2013. Fish transporters and miracle homes: How compositional distributional semantics can help NP parsing. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (pp. 1908-1913). Seattle, WA. [pdf] [bib] [datasets]
E.M. Vecchi, R. Zamparelli, and M. Baroni. 2013. Compositionnaliteé en sémantique distributionnelle et ordonnancement des adjectifs. In Actes de MIXEUR 2013: Méthodes mixtes pour l'analyse syntaxique et sémantique du français, pages 99-102, Les Sables d'Olonne, France. [pdf] [bib]
G. Boleda, E.M. Vecchi, M. Cornudella and L. McNally. 2012. First-order vs. higher-order modification in distributional semantics. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing (pp. 1223-1233). Jeju Island, Korea. [pdf] [bib] [datasets]
E.M. Vecchi, M. Baroni and R. Zamparelli. 2011. (Linear) maps of the impossible: Capturing semantic anomalies in distributional space. In Proceedings of the ACL DISCo (Distributional Semantics and Compositionality) Workshop (pp. 1-9). Portland, Oregon. [pdf] [bib] [datasets]
F. Dell'Orletta, S. Montemagni, E.M. Vecchi, G. Venturi. 2011. Tecnologie linguistico-computazionali per il monitoraggio delle competenze linguistiche di apprendenti l'italiano come L2. In IT.L2 - Congresso "IT.L2: italiano lingua seconda nell'universita, nella scuola e sul territorio. Esperienze didattiche e ricerche" (Universita del Piemonte Orientale "Amedeo Avogadro", Facolta' di Letere e Filosofia - Vercelli. 12-13 Ottobre 2011.
A. Lenci, S. Montemagni, E.M. Vecchi, G. Venturi. 2011. Enriching the ISST-TANL Corpus with Semantic Frames. EVALITA 2011.
G. Attardi, S. Dei Rossi, F. Dell'Orletta, E.M. Vecchi. 2009. The Tanl Named Entity Recognizer at Evalita 2009. In Proceedings of the 2nd Special Issue on Evaluation of NLP and Speech Tools for Italian (EVALITA 2009). Reggio Emilia, Italy. December 2009. [pdf] [bib]
G. Attardi, A. Fuschetto, F. Tamberi, M. Simi, E.M. Vecchi. 2009. Experiments in tagger combination: arbitrating, guessing, correcting, suggesting. In Proceedings of the 2nd Special Issue on Evaluation of NLP and Speech Tools for Italian (EVALITA 2009). Reggio Emilia, Italy. December 2009. [pdf] [bib]
G. Venturi, A. Lenci, S. Montemagni, E.M. Vecchi, M.T. Sagri, D. Tiscornia, T. Agnoloni. 2009. Towards a FrameNet Resource for the Legal Domain. In the 3rd Workshop on Legal Ontologies and Artificial Intelligence Techniques joint with 2nd Workshop on Semantic Processing of Legal Text. (LOAIT 2009). Barcelona, Spain. 8 June 2009. [pdf] [bib]
K. Miller, M. Arehart, C. Ball, J. Polk, A. Rubenstein, K. Samuel, E. Schroeder, E.M. Vecchi, C. Wolf. 2008. An Infrastructure, Tools and Methodology for Evaluation of Multicultural Name Matching Systems. In Proceedings of the Sixth International Language Resources and Evaluation (LREC'08). Marrakech, Morocco. 28-30 May 2008. [pdf] [bib]
L. Rimell and E.M. Vecchi. 2015. A Corpus of Lexically and Syntactically Diverse Paraphrases for Evaluating Compositional Distributional Models. IWCS 2015 Advances in Distributional Semantics Workshop. London, United Kingdom. [pdf]
L. Fǎgǎrǎşan, E.M. Vecchi and S. Clark. 2014.
From distributional semantics to feature norms: Grounding semantic models in human perceptual data.
NIPS Learning Semantics Workshop 2014. Montreal, Canada.
E.M. Vecchi. Distributional semantic phrases vs. semantic distributional nonsense: Adjective Modification in Compositional Distributional Semantics. PhD Thesis, Center of Mind/Brain Sciences, University of Trento, Italy, December 2013. [pdf] [bib]
Resources and Tools
Resources and Public Code
COMPOSES Github Repository: All the code and resources to be developed by COMPOSES will be publically and freely released.
EMNLP 2012 Datasets: The intersective, subsective, and intensional AN datasets used in the EMNLP 2012 experiments are available here: data-emnlp2012.zip
DISCo 2011 Datasets: The evaluation sets of unattested ANs manually annotated as either semantically deviant or acceptable for the 25 test adjectives are available here.
Email: evamariavecchi AT gmail.com
Snail Mail: Eva Maria Vecchi, Computer Laboratory, University of Cambridge, 15 JJ Thomson Avenue, Cambridge CB3 0FD, United Kingdom.
Phone: (+44) (0)1223 763765