Massimo Poesio

Chair in Humanities Computing and Director of the Language, Interaction and Computation Lab at the Center for Mind/Brain Sciences.

Main interests

My area of research is computational modeling of the processes of semantic interpretation in language, particularly reference resolution and language processing in spoken dialogue. My main research focus at the moment is the development of cognitively plausible models of the acquisition of lexical and conceptual knowledge that can generate predictions testable by using such knowledge in semantic interpretation tasks, with behavioral techniques and through brain data (particularly EEG). I also have an interest in the differences in interpretation between humans, assessed e.g., through agreement studies, and in the application of these techniques to the creation of large annotated corpora.

Publications

Research Articles in Journals

- Poesio, M. and Y. Versley, to appear. The state of the art in Anaphora Resolution. Compass.
- Karamanis, N., M. Poesio, C. Mellish, and J. Oberlander, 2009. Evaluating Centering for information ordering using corpora. Computational Linguistics.
- Poesio, M. and R. Artstein, 2008. Introduction to the Special Issue on Ambiguity and Semantic Judgments. Research in Language and Computation. v. 6, n. 3, 1-5.
- Artstein, R. and M. Poesio, 2008. Intercoder agreement for Computational Linguistics. Computational Linguistics. v. 34, n. 4, 555–596.

Research Articles in Books

- Cavicchio, F. and M. Poesio (to appear). Multimodal Corpora Annotation: Validation Methods to Assess Coding Scheme Reliability. In M. Kipp, J.-C. Martin, P. Paggio, and D. Heylen (eds), Multimodal Corpora, Lecture Notes in Computer Science, Springer.
- Cavicchio, F. and M. Poesio, 2008. Annotation of Emotion in Dialogue: The Emotion in Cooperation Project. In Perception in Multimodal Dialogue Systems, Springer Lecture Lecture Notes in Computer Science.
- Poesio, M. 2008. Linguistic Claims Formulated in Terms of Centering: A Re-examination using Parametric CB-tracking Techniques. In J. Gundel and N. Hedberg (eds.), Reference: Interdisciplinary perspectives, Oxford University Press.
- Poesio, M. and A. Almuhareb, 2008. Extracting Concept Descriptions from the Web: The Importance of Attributes and Values. In P. Buitelaar and P. Cimiano Ontology Learning and Population: Bridging the Gap between Text and Knowledge, p. 29–44, IOS Press.

Papers in Proceedings of Refereed Conferences and Workshops

- J. Chamberlain, M. Poesio and U. Kruschwitz, 2008. A Web-based collaborative annotation game. In Proc. of I-Semantics, Graz.
- Y. Versley, A. Moschitti, M. Poesio, and X. Yang, 2008. Coreference systems based on kernel methods. In Proc. of COLING, Manchester.
- B. Murphy, M. Dalponte, M. Poesio, and L. Bruzzone, 2008. Distinguishing Concept Categories on the Basis of Single-Participant electrophysiological activity. In Proc. of Annual Meeting of the Cognitive Science Society, Washington.
- M. Poesio, E. Barbu, C. Giuliano and L. Romano, 2008. Supervised relation extraction for ontology learning from text based on a cognitively plausible model of relations. In Proc. of ECAI workshop on ontology learning and population, Patras, Greece.
- F. Cavicchio and M. Poesio, 2008. Annotation of Cooperation and Emotion in Map Task Dialogues. In Proc. of the LREC Workshop on Multimodal Corpora, pp. 376-38.
- Y. Versley, S. Ponzetto, M. Poesio, V. Eidelman, A. Jern, J. Smith, X.Yang, and A. Moschitti, 008. The BART modular toolkit for coreference resolution. In Proc. of LREC.
- M. Poesio, U. Kruschwitz and J. Chamberlain, 2008. ANAWIKI: Creating Anaphorically Annotated Resources Through Web Collaboration. In Proc. of LREC.
- M. Poesio and R. Artstein, 2008. Anaphoric annotation in the ARRAU Corpus. In Proc. of LREC.
- D. Day, J. Hitzeman, M.Wick, K. Crouch and M. Poesio, 2008. A corpus for cross-document coreference. In Proc. of LREC.