Research
Natural Language Processing, machine translation, visually grounded and textual semantic models
Interests
His research interests are in the semantics of natural language and in computational methods for semantic analysis, particularly in the areas of anaphora resolution and in dialogue. One of the main areas of research at the moment is the use of games to collect data to support computational linguistics (‘Games with a purpose’). His work on the organisation and acquisition of conceptual knowledge has involved using machine learning techniques to acquire evidence about common sense from corpora and brain data.
Publications

Publications of specific relevance to Applied Data Science
2020

Alhelbawy A, Lattimer M, Kruschwitz U, Fox C and
Poesio M (2020).
An NLP-Powered Human Rights Monitoring Platform. Expert Systems With Applications vol. 153,
10.1016/j.eswa.2020.113365
Fornaciari T, Cagnina L, Rosso P and
Poesio M (2020).
Fake opinion detection: how similar are crowdsourced datasets to real data? Language Resources and Evaluation 10.1007/s10579-020-09486-52019

Uryupina O, Artstein R, Bristot A, Cavicchio F, Delogu F, Rodriguez KJ and
Poesio M (2019).
Annotating a broad range of anaphoric phenomena, in a variety of genres: The ARRAU Corpus. Natural Language Engineering 10.1017/S13513249190000562018

Chamberlain J, Kruschwitz U and
Poesio M (2018).
Optimising crowdsourcing efficiency: Amplifying human computation with validation. Walter De Gruyter Gmbh It - Information Technology vol. 60, (1) 41-49.
10.1515/itit-2017-00202017
POESIO M, ANDERSON A, Clark S and Kiela D (2017).
Visually grounded and textual semantic models differentially decode brain activity associated with concrete and abstract nouns. Association For Computational Linguistics Transactions of The Association For Computational Linguistics vol. 5, 17-30.
2016

Ginzburg J and
Poesio M (2016).
Grammar Is a System That Characterizes Talk in Interaction. Frontiers Media Front Psychol vol. 7, 1938-1938.
10.3389/fpsyg.2016.019382015

Anderson AJ, Bruni E, Lopopolo A,
Poesio M and Baroni M (2015).
Reading visually embodied meaning from the brain: Visually grounded computational models decode visual-object mental imagery induced by written text. Neuroimage vol. 120, 309-322.
10.1016/j.neuroimage.2015.06.093
Sikdar UK, Ekbal A, Saha S, Uryupina O and
Poesio M (2015).
Differential evolution-based feature selection technique for anaphora resolution. Soft Computing vol. 19, (8) 2149-2161.
10.1007/s00500-014-1397-32014

Anderson AJ, Murphy B and
Poesio M (2014).
Discriminating taxonomic categories and domains in mental simulations of concepts of varying concreteness. Journal of Cognitive Neuroscience vol. 26, (3) 658-681.
10.1162/jocn_a_00508
Cavicchio F, Melcher D and
Poesio M (2014).
The effect of linguistic and visual salience in visual world studies. Frontiers in Psychology vol. 5, (MAR)
10.3389/fpsyg.2014.001762013

Fornaciari T and
Poesio M (2013).
Automatic deception detection in Italian court cases. Artificial Intelligence and Law vol. 21, (3) 303-340.
10.1007/s10506-013-9140-4
Sikdar UK, Ekbal A, Saha S, Uryupina O and
Poesio M (2013).
Anaphora resolution for bengali: An experiment with domain adaptation. Computacion Y Sistemas vol. 17, (2) 137-146.
Poesio M, Chamberlain J, Kruschwitz U, Robaldo L and Ducceschi L (2013).
Phrase detectives: Utilizing collective intelligence for internet-scale language resource creation. Acm Transactions On Interactive Intelligent Systems vol. 3, (1)
10.1145/2448116.24481192012

Akama H, Murphy B, Na L, Shimizu Y and
Poesio M (2012).
Decoding semantics across fMRI sessions with different stimulus modalities: A practical MVPA study. Frontiers in Neuroinformatics vol. 6, (JULY 2012)
10.3389/fninf.2012.00024
Cavicchio F and
Poesio M (2012).
The Rovereto Emotion and Cooperation Corpus: A new resource to investigate cooperation and emotions. Language Resources and Evaluation vol. 46, (1) 117-130.
10.1007/s10579-011-9163-y2011
Poesio M, Diewald N, Stührenberg M, Chamberlain J, Jettka D, Goecke D and Kruschwitz U (2011).
Markup infrastructure for the anaphoric bank: Supporting web collaboration. Studies in Computational Intelligence vol. 370, 175-195.
10.1007/978-3-642-22613-7_10
Murphy B,
Poesio M, Bovolo F, Bruzzone L, Dalponte M and Lakany H (2011).
EEG decoding of semantic category reveals distributed representations for single concepts. Brain and Language vol. 117, (1) 12-22.
10.1016/j.bandl.2010.09.0132010
2009
Poesio M, Day D and Mani I (2009).
Janet Hitzeman Obituary. Computational Linguistics vol. 35, (4) 476-479.

Karamanis N,
Poesio M, Mellish C and Oberlander J (2009).
Evaluating centering for information ordering using corpora. Computational Linguistics vol. 35, (1) 29-46.
10.1162/coli.07-036-R2-06-222008
Poesio M and Artstein R (2008).
Introduction to the special issue on ambiguity and semantic judgments. Research On Language and Computation vol. 6, (3-4) 241-245.
10.1007/s11168-008-9057-3
Poesio M (2008).
Linguistic Claims Formulated in Terms of Centering Linguistic Claims Formulated in Terms of Centering A Re-Examination Using Parametric CB-Tracking Techniques. Reference: Interdisciplinary Perspectives 10.1093/acprof:oso/9780195331639.003.0009
Artstein R and
Poesio M (2008).
Inter-coder agreement for computational linguistics. Computational Linguistics vol. 34, (4) 555-596.
10.1162/coli.07-034-R2
Poesio M and Almuhareb A (2008).
Extracting concept descriptions from the web: The importance of attributes and values. Frontiers in Artificial Intelligence and Applications vol. 167, (1) 29-44.
2007

Steinberger J,
Poesio M, Kabadjov MA and Ježek K (2007).
Two uses of anaphora resolution in summarization. Information Processing and Management vol. 43, (6) 1663-1680.
10.1016/j.ipm.2007.01.0102006
Poesio M, Sturt P, Artstein R and Filik R (2006).
Underspecification and anaphora: Theoretical issues and preliminary evidence. Discourse Processes vol. 42, (2) 157-175.
10.1207/s15326950dp4202_42005
Poesio M (2005).
Domain modelling and NLP: Formal ontologies? Lexica? Or a bit of both? Applied Ontology vol. 1, 27-33.
2004
Poesio M, Di Eugenio B, Stevenson R and Hitzeman J (2004).
Centering: A parametric theory and its instantiations. Computational Linguistics vol. 30, (3) 309-364.
10.1162/08912010418509112002
2000

Vieira R and
Poesio M (2000).
An empirically based system for processing definite descriptions. Computational Linguistics vol. 26, (4) 539-593.
10.1162/089120100750105948
Vieira R and
Poesio M (2000).
An empirically based system for processing definite descriptions. Computational Linguistics vol. 26, (4) 538-593.
1998
Poesio M and Vieira R (1998).
A Corpus-based Investigation of Definite Description Use. Computational Linguistics vol. 24, (2)
1997
1996

Traum DR, Schubert LK, Martin NG, Hwang CH, Heeman P, Ferguson G, Allen JF,
Poesio M and Light M (1996).
Knowledge representation in the TRAINS-93 conversation system. International Journal of Expert Systems vol. 9, (1) 173-223.
Poesio M (1996).
Logic and lexicon - Pinkal,M. Computational Linguistics vol. 22, (1) 140-144.
1995

Allen JF, Schubert LK, Ferguson G, Heeman P, Hwang CH, Kato T, Light M, Martin N, Miller B,
Poesio M and Traum DR (1995).
The TRAINS project: A case study in building a conversational planning agent. Journal of Experimental and Theoretical Artificial Intelligence vol. 7, (1) 7-48.
10.1080/095281395089537991987
Poesio M and Rullent C (1987).
MODIFIED CASEFRAME PARSING FOR SPEECH UNDERSTANDING SYSTEMS. Cselt Technical Reports vol. 15, (6) 441-446.
Grants

Grants of specific relevance to Applied Data Science
Human Rights and Information Technology in the Era of Big DataMcgregor L, Bhalotra SR, Woods LM,
Poesio M, Landman T, Sunkin M, Mcdonald-Maier KD and Fussey P
£4,743,734
Economic and Social Research Council (30-09-2015 - 29-09-2021)
Summary
Disagreements and Language InterpretationPoesio MEUR2,499,471
European Research Council (01-09-2016 - 31-08-2021)
Summary