Professor Massimo Poesio

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Email
poesio@essex.ac.uk -
Location
Colchester Campus
Teaching and supervision
Previous supervision

Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 9/9/2019

Degree subject: Computer Science
Degree type: Master of Science (by Dissertation)
Awarded date: 25/11/2016

Degree subject: Computer Science
Degree type: Doctor of Philosophy
Awarded date: 19/4/2016

Degree type: Occasional Postgraduate Study
Awarded date: 7/7/2013
Publications
Journal articles (53)
Poesio, M., Yu, J., Paun, S., Aloraini, A., Lu, P., Haber, J. and Cokal, D., (2023). Computational Models of Anaphora. Annual Review of Linguistics. 9 (1), 561-587
Cokal, D., Filik, R., Sturt, P. and Poesio, M., (2023). Anaphoric reference to mereological entities. Discourse Processes. 60 (3), 202-223
Bruera, A. and Poesio, M., (2022). Exploring the Representations of Individual Entities in the Brain Combining EEG and Distributional Semantics. Frontiers in Artificial Intelligence. 5, 796793-
Uma, A., Almanea, D. and Poesio, M., (2022). Scaling and Disagreements: Bias, Noise, and Ambiguity. Frontiers in Artificial Intelligence. 5, 818451-
Uma, AN., Fornaciari, T., Hovy, D., Paun, S., Plank, B. and Poesio, M., (2021). Learning from Disagreement: A Survey. Journal of Artificial Intelligence Research. 72, 1385-1470
Haber, J. and Poesio, M., (2021). Patterns of Lexical Ambiguity in Contextualised Language Models. Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021, 2663-2676
Uryupina, O., Artstein, R., Bristot, A., Cavicchio, F., Delogu, F., Rodriguez, KJ. and Poesio, M., (2020). Annotating a broad range of anaphoric phenomena, in a variety of genres: the ARRAU Corpus. Natural Language Engineering. 26 (1), 95-128
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. 54 (4), 1019-1058
Alhelbawy, A., Lattimer, M., Kruschwitz, U., Fox, C. and Poesio, M., (2020). An NLP-Powered Human Rights Monitoring Platform. Expert Systems with Applications. 153, 113365-113365
Moosavi, NS., Born, L., Poesio, M. and Strube, M., (2020). Using automatically extracted minimum spans to disentangle coreference evaluation from boundary detection. ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. abs/1906.06703, 4168-4178
Yu, J., Uma, A. and Poesio, M., (2020). A cluster ranking model for full anaphora resolution. LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings. abs/1911.09532, 11-20
Yu, J., Bohnet, B. and Poesio, M., (2020). Neural mention detection. LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings. abs/1907.12524, 1-10
Paun, S., Carpenter, B., Chamberlain, JD., Hovy, D., Kruschwitz, U. and Poesio, M., (2018). Comparing Bayesian Models of Annotation. Transactions of the Association for Computational Linguistics. 6 (2018), 571-585
Chamberlain, J., Kruschwitz, U. and Poesio, M., (2018). Optimising crowdsourcing efficiency: Amplifying human computation with validation. it - Information Technology. 60 (1), 41-49
Rieser, H. and Poesio, M., (2016). Pandora’s Box Opened. Theoretical Linguistics. 42 (3-4), 305-318
Ginzburg, J. and Poesio, M., (2016). Grammar Is a System That Characterizes Talk in Interaction. Frontiers in Psychology. 7 (DEC), 1938-
Ginzburg, J. and Poesio, M., (2016). Grammar Is a System That Characterizes Talk in Interaction. Frontiers in Psychology. 7 (1938)
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. 120, 309-322
Althobaiti, M., Kruschwitz, U. and Poesio, M., (2015). Combining Minimally-supervised Methods for Arabic Named Entity Recognition.. Transactions of the Association for Computational Linguistics. 3 (2015), 243-256
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. 26 (3), 658-681
Cavicchio, F., Melcher, D. and Poesio, M., (2014). The effect of linguistic and visual salience in visual world studies. Frontiers in Psychology. 5 (MAR), 176-
Sikdar, UK., Ekbal, A., Saha, S., Uryupina, O. and Poesio, M., (2014). Differential evolution-based feature selection technique for anaphora resolution. Soft Computing. 19 (8), 2149-2161
Gu, Y., Celli, F., Steinberger, J., Anderson, AJ., Poesio, M., Strapparava, C. and Murphy, B., (2014). Using Brain Data for Sentiment Analysis.. J. Lang. Technol. Comput. Linguistics. 29, 79-94
Akama, H., Murphy, B., Lei, M. and Poesio, M., (2014). Cross-participant modelling based on joint or disjoint feature selection: an fMRI conceptual decoding study. Applied Informatics. 1 (1), creators-Poesio=3AMassimo=3A=3A
Cavicchio, F., Melcher, D. and Poesio, M., (2014). The effect of linguistic and visual salience in visual world studies. Frontiers in Psychology. 5, creators-Poesio=3AMassimo=3A=3A
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. 3 (1), 1-44
Fornaciari, T. and Poesio, M., (2013). Automatic deception detection in Italian court cases. Artificial Intelligence and Law. 21 (3), 303-340
Sikdar, UK., Ekbal, A., Saha, S., Uryupina, O. and Poesio, M., (2013). Anaphora resolution for bengali: An experiment with domain adaptation. Computacion y Sistemas. 17 (2), 137-146
Gu, Y., Cazzolli, G., Murphy, B., Miceli, G. and Poesio, M., (2013). EEG study of the neural representation and classification of semantic categories of animals vs tools in young and elderly participants. BMC Neuroscience. 14 (Suppl), creators-Poesio=3AMassimo=3A=3A
Cavicchio, F. and Poesio, M., (2012). (Non)cooperative Dialogues. Human Factors: The Journal of the Human Factors and Ergonomics Society. 54 (4), 546-559
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. 6 (JULY 2012), 24-24
Cavicchio, F. and Poesio, M., (2012). The Rovereto Emotion and Cooperation Corpus: a new resource to investigate cooperation and emotions. Language Resources and Evaluation. 46 (1), 117-130
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. 117 (1), 12-22
Poesio, M. and Rieser, H., (2011). An Incremental Model of Anaphora and Reference Resolution Based on Resource Situations.. Dialogue Discourse. 2, 235-277
Baroni, M., Murphy, B., Barbu, E. and Poesio, M., (2010). Strudel: A Corpus-Based Semantic Model Based on Properties and Types. Cognitive Science. 34 (2), 222-254
Poesio, M. and Rieser, H., (2010). Completions, Coordination, and Alignment in Dialogue.. Dialogue Discourse. 1, 1-89
Karamanis, N., Mellish, C., Poesio, M. and Oberlander, J., (2009). Evaluating Centering for Information Ordering Using Corpora. Computational Linguistics. 35 (1), 29-46
Artstein, R. and Poesio, M., (2008). Inter-Coder Agreement for Computational Linguistics. Computational Linguistics. 34 (4), 555-596
Poesio, M. and Almuhareb, A., (2008). Extracting concept descriptions from the web: The importance of attributes and values. Frontiers in Artificial Intelligence and Applications. 167 (1), 29-44
Poesio, M. and Artstein, R., (2008). Introduction to the Special Issue on Ambiguity and Semantic Judgments. Research on Language and Computation. 6 (3-4), 241-245
Sanchez-Graillet, O. and Poesio, M., (2007). Negation of protein–protein interactions: analysis and extraction. Bioinformatics. 23 (13), i424-i432
Steinberger, J., Poesio, M., Kabadjov, MA. and Ježek, K., (2007). Two uses of anaphora resolution in summarization. Information Processing & Management. 43 (6), 1663-1680
Poesio, M., Sturt, P., Artstein, R. and Filik, R., (2006). Underspecification and Anaphora: Theoretical Issues and Preliminary Evidence. Discourse Processes. 42 (2), 157-175
Poesio, M., (2005). Domain modelling and NLP: Formal ontologies? Lexica? Or a bit of both?. Applied Ontology. 1 (1), 27-33
Poesio, M., Stevenson, R., Eugenio, BD. and Hitzeman, J., (2004). Centering: A Parametric Theory and Its Instantiations. Computational Linguistics. 30 (3), 309-363
Garrod, S. and Poesio, M., (2002). Plumbing semantic depths in Amsterdam. Trends in Cognitive Sciences. 6 (4), 150-151
Wright Hastie, H., Poesio, M. and Isard, S., (2002). Automatically predicting dialogue structure using prosodic features. Speech Communication. 36 (1-2), 63-79
Vieira, R. and Poesio, M., (2000). An empirically based system for processing definite descriptions. Computational Linguistics. 26 (4), 538-593
Poesio, M. and Vieira, R., (1998). A Corpus-based Investigation of Definite Description Use. Computational Linguistics. 24 (2), 183-216
Poesio, M. and Traum, DR., (1997). Conversational Actions and Discourse Situations. Computational Intelligence. 13 (3), 309-347
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. 9 (1), 173-223
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 & Theoretical Artificial Intelligence. 7 (1), 7-48
Poesio, M. and Rullent, C., (1987). MODIFIED CASEFRAME PARSING FOR SPEECH UNDERSTANDING SYSTEMS.. CSELT Technical Reports. 15 (6), 441-446
Books (2)
Paun, S., Artstein, R. and Poesio, M., (2022). Preface
Poesio, M., Stuckardt, R. and Versley, Y., (2016). Anaphora Resolution: Algorithms, Resources, and Applications. Springer. 3-662-47908-7. 978-3-662-47908-7
Book chapters (12)
Paun, S., Artstein, R. and Poesio, M., (2022). Statistical Methods for Annotation Analysis. In: Synthesis Lectures on Human Language Technologies. Springer Science and Business Media LLC. 1- 217
Paun, S., Artstein, R. and Poesio, M., (2022). Using Agreement Measures for CL Annotation Tasks. In: Synthesis Lectures on Human Language Technologies. Springer International Publishing. 47- 78. 9783031037535
Paun, S., Artstein, R. and Poesio, M., (2022). Learning from Multi-Annotated Corpora. In: Synthesis Lectures on Human Language Technologies. Springer International Publishing. 147- 165. 9783031037535
Paun, S., Artstein, R. and Poesio, M., (2022). Introduction. In: Synthesis Lectures on Human Language Technologies. Springer International Publishing. 1- 5. 9783031037535
Paun, S., Artstein, R. and Poesio, M., (2022). Probabilistic Models of Annotation. In: Synthesis Lectures on Human Language Technologies. Springer International Publishing. 105- 145. 9783031037535
Paun, S., Artstein, R. and Poesio, M., (2022). Coefficients of Agreement. In: Synthesis Lectures on Human Language Technologies. Springer International Publishing. 9- 46. 9783031037535
Paun, S., Artstein, R. and Poesio, M., (2022). Probabilistic Models of Agreement. In: Synthesis Lectures on Human Language Technologies. Springer International Publishing. 79- 101. 9783031037535
Chamberlain, J., Kruschwitz, U. and Poesio, M., (2013). Methods for Engaging and Evaluating Users of Human Computation Systems. In: Handbook of Human Computation. Editors: . Springer New York. 679- 694. 9781461488057
Chamberlain, J., Fort, K., Kruschwitz, U., Lafourcade, M. and Poesio, M., (2013). Using Games to Create Language Resources: Successes and Limitations of the Approach. In: The People?s Web Meets NLP : Collaboratively Constructed Language Resources. Editors: Gurevych, I. and Kim, J., . Springer. 3- 44. 9783642350849
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. In: Modeling, Learning, and Processing of Text Technological Data Structures. Editors: . Springer Berlin Heidelberg. 175- 195. 9783642226120
Cavicchio, F. and Poesio, M., (2009). Multimodal Corpora Annotation: Validation Methods to Assess Coding Scheme Reliability. In: Multimodal Corpora. Editors: . Springer Berlin Heidelberg. 109- 121. 3642047920. 9783642047923
Poesio, M., (2008). 9 Linguistic Claims Formulated in Terms of Centering A Re‐Examination Using Parametric CB‐Tracking Techniques. In: Reference. Oxford University PressNew York. 216- 245. 019533163X. 9780195331639
Conferences (123)
Yu, J., Paun, S., Camilleri, M., Carretero Garcia, P., Chamberlain, J., Kruschwitz, U. and Poesio, M., (2023). Aggregating Crowdsourced and Automatic Judgments to Scale Up a Corpus of Anaphoric Reference for Fiction and Wikipedia Texts
Uryupina, O., Saha, S., Ekbal, A. and Poesio, M., (2022). Multi-metric optimization for coreference: The UniTN/IITP/Essex submission to the 2011 CONLL Shared Task
Madge, C., Brightmore, J., Kicikoglu, D., Althani, F., Bartle, R., Chamberlain, J., Kruschwitz, U. and Poesio, M., (2022). LingoTowns: A Virtual World For Natural Language Annotation and Language Learning
Yu, J., Khosla, S., Moosavi, NS., Paun, S., Pradhan, S. and Poesio, M., (2022). The Universal Anaphora Scorer
Almanea, D. and Poesio, M., (2022). ArMIS - The Arabic Misogyny and Sexism Corpus with Annotator Subjective Disagreements
Fornaciari, T., Uma, A., Poesio, M. and Hovy, D., (2022). Hard and Soft Evaluation of NLP models with BOOtSTrap SAmpling - BooStSa
Aliady, W., Aloraini, A., Madge, C., Yu, J., Bartle, R. and Poesio, M., (2022). Coreference Annotation of an Arabic Corpus using a Virtual World Game
Aloraini, A., Pradhan, S. and Poesio, M., (2022). Joint Coreference Resolution for Zeros and non-Zeros in Arabic
Fornaciari, T., Bianchi, F., Poesio, M. and Hovy, D., (2021). BERTective: Language models and contextual information for deception detection
Madge, C., Bartle, R., Chamberlain, J., Kruschwitz, U. and Poesio, M., (2021). WordClicker: Tuning our approach for language resourcing
Basile, V., Fell, M., Fornaciari, T., Hovy, D., Paun, S., Plank, B., Poesio, M. and Uma, A., (2021). We Need to Consider Disagreement in Evaluation
Khosla, S., Yu, J., Manuvinakurike, R., Ng, V., Poesio, M., Strube, M. and Rosé, C., (2021). The CODI-CRAC 2021 Shared Task on Anaphora, Bridging, and Discourse Deixis in Dialogue
Aloraini, A. and Poesio, M., (2021). Data Augmentation Methods for Anaphoric Zero Pronouns
Lu, P. and Poesio, M., (2021). Coreference Resolution for the Biomedical Domain: A Survey
Braud, C., Hardmeier, C., Li, JJ., Louis, A., Strube, M., Zeldes, A., Carenini, G., Cheung, JCK., Demberg, V., Denis, P., Dipper, S., Gong, Z., Ferracane, E., Grishina, Y., Inui, K., Ji, Y., Kurfalı, M., Kurohashi, S., Lapshinova-Koltunski, E., Loáiciga, S., Liu, Q., Muller, P., Müller, MC., Ng, V., Ogrodniczuk, M., Poesio, M., Rutherford, AT., Webber, B., Xiong, D., Zinsmeister, H., Jackie, CKC. and Vera, D., (2021). Preface
Yu, J., Moosavi, NS., Paun, S. and Poesio, M., (2021). Stay Together: A System for Single and Split-antecedent Anaphora Resolution
Fornaciari, T., Uma, A., Paun, S., Plank, B., Hovy, D. and Poesio, M., (2021). Beyond Black & White: Leveraging Annotator Disagreement via Soft-Label Multi-Task Learning
Uma, A., Fornaciari, T., Dumitrache, A., Miller, T., Chamberlain, J., Plank, B., Simpson, E. and Poesio, M., (2021). SemEval-2021 Task 12: Learning with Disagreements
Aloraini, A. and Poesio, M., (2020). Cross-lingual zero pronoun resolution
Yu, J., Bohnet, B. and Poesio, M., (2020). Named entity recognition as dependency parsing
Yu, J., Moosavi, NS., Paun, S. and Poesio, M., (2020). Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution
Yu, J. and Poesio, M., (2020). Multitask Learning-Based Neural Bridging Reference Resolution
Madge, C., Bartle, R., Chamberlain, J., Kruschwitz, U. and Poesio, M., (2019). Making text annotation fun with a clicker game
Madge, C., Bartle, R., Chamberlain, J., Kruschwitz, U. and Poesio, M., (2019). The Design Of A Clicker Game for Text Labelling
Poesio, M., Chamberlain, J., Paun, S., Yu, J., Uma, A. and Kruschwitz, U., (2019). A Crowdsourced Corpus of Multiple Judgments and Disagreement on Anaphoric Interpretation
Madge, C., Bartle, R., Chamberlain, J., Kruschwitz, U. and Poesio, M., (2019). Incremental Game Mechanics Applied to Text Annotation
Madge, C., Yu, J., Chamberlain, J., Kruschwitz, U., Paun, S. and Poesio, M., (2019). Crowdsourcing and Aggregating Nested Markable Annotations
Kicikoglu, D., Bartle, R., Chamberlain, J. and Poesio, M., (2019). Wormingo
Paun, S., Chamberlain, J., Kruschwitz, U., Yu, J. and Poesio, M., (2018). A Probabilistic Annotation Model for Crowdsourcing Coreference
Madge, C., Chamberlain, J., Kruschwitz, U. and Poesio, M., (2017). Experiment-Driven Development of a GWAP for Marking Segments in Text
Chesney, S., Liakata, M., Poesio, M. and Purver, M., (2017). Incongruent headlines: Yet anotherway to mislead your readers
Riccardi, G., Bechet, F., Danieli, M., Favre, B., Gaizauskas, R., Kruschwitz, U. and Poesio, M., (2016). The SENSEI Project: Making Sense of Human Conversations
Poesio, M., Alhelbawy, A., Fox, C. and Kruschwitz, U., (2016). Exploiting social media to address fundamental human rights issues
Kabadjov, M., Kruschwitz, U., Poesio, M., Steinberger, J., Poch, M. and Zaragoza, H., (2016). The OnForumS corpus from the shared task on Online Forum Summarisation at MultiLing 2015
Chamberlain, J., Poesio, M. and Kruschwitz, U., (2016). Phrase detectives corpus 1.0 crowdsourced anaphoric coreference
Alhelbawy, A., Kruschwitz, U. and Poesio, M., (2016). Towards a corpus of violence acts in Arabic social media
Uryupina, O., Artstein, R., Bristot, A., Cavicchio, F., Rodriguez, KJ. and Poesio, M., (2016). ARRAU: Linguistically-motivated annotation of anaphoric descriptions
Soraluze, A., Arregi, O., Arregi, X., de Ilarraza, AD., Kabadjov, M. and Poesio, M., (2016). Coreference Resolution for the Basque Language with BART
Poesio, M., Chamberlain, J., Kruschwitz, U., Robaldo, L. and Ducceschi, L., (2015). Phrase detectives: Utilizing collective intelligence for internet-scale language resource creation
Kabadjov, M., Steinberger, J., Barker, E., Kruschwitz, U. and Poesio, M., (2015). OnForumS
Martinez-Alvarez, M., Kruschwitz, U., Hall, W. and Poesio, M., (2015). Signal: Advanced Real-Time Information Filtering
Giannakopoulos, G., Kubina, J., Conroy, J., Steinberger, J., Favre, B., Kabadjov, M., Kruschwitz, U. and Poesio, M., (2015). MultiLing 2015: Multilingual Summarization of Single and Multi-Documents, On-line Fora, and Call-center Conversations
Althobaiti, M., Kruschwitz, U. and Poesio, M., (2014). AraNLP: A Java-based library for the processing of Arabic text
Althobaiti, M., Kruschwitz, U. and Poesio, M., (2014). Automatic Creation of Arabic Named Entity Annotated Corpus Using Wikipedia
Fornaciari, T. and Poesio, M., (2014). Identifying fake Amazon reviews as learning from crowds
Alghamdi, A., Bonin, F., Ekbal, A., Saha, S., Cavulli, F., Tonelli, S., Poesio, M. and Kruschwitz, U., (2014). Active Expert Learning for the Digital Humanities
Paun, S., Kruschwitz, U. and Poesio, M., (2014). A Model for Automatic Extraction of Slowdowns From Traffic Sensor Data
Tao, Y., Anderson, A. and Poesio, M., (2014). What is concrete and abstract and read all over?'' An fMRI study of type coercion in inherent polysemy
Althobaiti, M., Kruschwitz, U. and Poesio, M., (2013). A semi-supervised learning approach to arabic named entity recognition
Fornaciari, T., Celli, F. and Poesio, M., (2013). The Effect of Personality Type on Deceptive Communication Style
Anderson, AJ., Bruni, E., Bordignon, U., Poesio, M. and Baroni, M., (2013). Of words, eyes and brains: Correlating image-based distributional semantic models with neural representations of concepts
Uryupina, O. and Poesio, M., (2013). Evalita 2011: Anaphora Resolution Task
Fung, P. and Poesio, M., (2013). Preface: Programme committee co-chairs
Fornaciari, T., Celli, F. and Poesio, M., (2013). The Effect of Personality Type on Deceptive Communication Style
Sikdar, UK., Ekbal, A., Saha, S., Uryupina, O. and Poesio, M., (2013). Adapting a State-of-the-art Anaphora Resolution System for Resource-poor Language
Fornaciari, T. and Poesio, M., (2012). DECOUR: A corpus of DEceptive statements in Italian COURts
Krčmář, L., Ježek, K. and Poesio, M., (2012). Detection of Semantic Compositionality Using Semantic Spaces
Uryupina, O. and Poesio, M., (2012). Domain-specific vs. uniform modeling for coreference resolution
Saha, S., Ekbal, A., Verma, M., Sikdar, U. and Poesio, M., (2012). Active learning technique for biomedical named entity extraction
Althobaiti, M., Kruschwitz, U. and Poesio, M., (2012). Identifying named entities on a University intranet
Bonin, F., Cavulli, F., Noriller, A., Poesio, M. and Stemle, EW., (2012). Annotating archaeological texts: An example of domain-specific annotation in the humanities
Uryupina, O., Moschitti, A. and Poesio, M., (2012). BART goes multilingual: The UniTN / Essex submission to the CoNLL-2012 shared task
Robaldo, L., Poesio, M., Ducceschi, L., Chamberlain, J. and Kruschwitz, U., (2011). Italian Anaphoric Annotation with the Phrase Detectives Game-with-a-Purpose
Iida, R. and Poesio, M., (2011). A cross-lingual ILP solution to zero anaphora resolution
Uryupina, O., Poesio, M., Giuliano, C. and Tymoshenko, K., (2011). Disambiguation and Filtering Methods in Using Web Knowledge for Coreference Resolution
Ekbal, A., Saha, S., Uryupina, O. and Poesio, M., (2011). Multiobjective Simulated Annealing Based Approach for Feature Selection in Anaphora Resolution
Uryupina, O., Poesio, M., Giuliano, C. and Tymoshenko, K., (2011). Disambiguation and filtering methods in using web knowledge for coreference resolution
Saha, S., Ekbal, A., Uryupina, O. and Poesio, M., (2011). Single and Multi-objective Optimization for Feature Selection in Anaphora Resolution
Poesio, M., Barbu, E., Stemle, EW. and Girardi, C., (2011). Structure-Preserving Pipelines for Digital Libraries
Poesio, M., Baroni, M., Lanz, O., Lenci, A., Potamianos, A., Schütze, H., Schulte Im Walde, S. and Surian, L., (2010). BabyExp: Constructing a huge multimodal resource to acquire commonsense knowledge like children do
Poesio, M., Uryupina, O. and Versley, Y., (2010). Creating a Coreference Resolution System for Italian
Broscheit, S., Ponzetto, SP., Versley, Y. and Poesio, M., (2010). Extending BART to provide a coreference resolution system for German
Rodríguez, KJ., Delogu, F., Versley, Y., Stemle, EW. and Poesio, M., (2010). Anaphoric annotation of wikipedia and blogs in the live memories corpus
Kabadjov, M., Steinberger, J., Steinberger, R., Poesio, M. and Pouliquen, B., (2010). Enhancing N-gram-based summary evaluation using information content and a taxonomy
Broscheit, S., Poesio, M., Ponzetto, SP., Rodriguez, KJ., Romano, L., Uryupina, O., Versley, Y. and Zanoli, R., (2010). BART: A multilingual anaphora resolution system
Recasens, M., Márquez, L., Sapena, E., Martí, MA., Taulé, M., Hoste, V., Poesio, M. and Versley, Y., (2010). SemEval-2010 task 1: Coreference resolution in multiple languages
Chamberlain, J., Poesio, M. and Kruschwitz, U., (2009). A demonstration of human computation using the Phrase Detectives annotation game
Murphy, B., Baroni, M. and Poesio, M., (2009). EEG responds to conceptual stimuli and corpus semantics
Barbu, E. and Poesio, M., (2009). Unsupervised knowledge extraction for taxonomies of concepts from Wikipedia
Rieser, H. and Poesio, M., (2009). Interactive gesture in dialogue: A PTT model
Chamberlain, J., Kruschwitz, U. and Poesio, M., (2009). Constructing an anaphorically annotated corpus with non-experts: Assessing the quality of collaborative annotations
Ponzetto, SP. and Poesio, M., (2009). State-of-the-art NLP Approaches to Coreference Resolution: Theory and Practical Recipes
Poesio, M. and Artstein, R., (2008). Anaphoric annotation in the ARRAU corpus
Poesio, M., Kruschwitz, U. and Chamberlain, J., (2008). ANAWIKI: Creating anaphorically annotated resources through Web cooperation
Day, D., Hitzeman, J., Wick, M., Crouch, K. and Poesio, M., (2008). A corpus for cross-document Co-reference
Versley, Y., Moschitti, A., Poesio, M. and Yang, X., (2008). Coreference systems based on kernels methods
Versley, Y., Ponzetto, SP., Poesio, M., Eidelman, V., Jern, A., Smith, J., Yang, X. and Moschitti, A., (2008). BART: A modular toolkit for coreference resolution
Cavicchio, F. and Poesio, M., (2008). Annotation of Emotion in Dialogue: The Emotion in Cooperation Project
Chamberlain, J., Poesio, M. and Kruschwitz, U., (2008). Addressing the resource bottleneck to create large-scale annotated texts
Sutcliffe, RFE., Steinberger, J., Kruschwitz, U., Alexandrov-Kabadjov, M. and Poesio, M., (2007). Identifying Novel Information Using Latent Semantic Analysis in the WiQA Task at CLEF 2006
Barbu, E. and Poesio, M., (2007). A comparison of feature norms and WordNet
Rodríguez, KJ., Dipper, S., Götze, M., Poesio, M., Riccardi, G., Raymond, C. and Wisniewska, J., (2007). Standoff coordination for multi-tool annotation in a dialogue corpus
Sanchez-Graillet, O. and Poesio, M., (2007). Discovering contradicting protein-protein interactions in text
Almuhareb, A. and Poesio, M., (2006). MSDA: Wordsense discrimination using context vectors and attributes
Sutcliffe, RFE., Steinberger, J., Kruschwitz, U., Alexandrov-Kabadjov, M. and Poesio, M., (2006). Identifying novel information using Latent Semantic Analysis in the WiQA task at CLEF 2006
Tesar, R., Strnad, V., Jezek, K. and Poesio, M., (2006). Extending the single words-based document model
Poesio, M., Patel, A. and Eugenio, BD., (2006). Discourse Structure and Anaphora in Tutorial Dialogues: An Empirical Analysis of Two Theories of the Global Focus
Poesio, M., Kabadjov, MA., Goux, P., Kruschwitz, U., Bishop, E. and Corti, L., (2006). An anaphora resolution-based anonymization module
Steinberger, J., Kabadjov, MA., Poesio, M. and Sanchez-Graillet, O., (2005). Improving LSA-based summarization with anaphora resolution
Poesio, M. and Artstein, R., (2005). The reliability of anaphoric annotation, reconsidered
Pustejovsky, J., Meyers, A., Palmer, M. and Poesio, M., (2005). Merging propbank, nombank, timebank, penn discourse treebank and coreference
Poesio, M. and Artstein, R., (2005). The reliability of anaphoric annotation, reconsidered: Taking ambiguity into account
Karamanis, N., Mellish, C., Oberlander, J. and Poesio, M., (2004). A Corpus-Based Methodology for Evaluating Metrics of Coherence for Text Structuring
Poesio, M. and Kabadjov, MA., (2004). A general-purpose, off-the-shelf anaphora resolution module: Implementation and preliminary evaluation
Sanchez-Graillet, O. and Poesio, M., (2004). Acquiring Bayesian networks from text
Goweder, A., Poesio, M. and De Roeck, A., (2004). Broken plural detection for arabic information retrieval
Goweder, A., Poesio, M., de Roeck, A. and Reynolds, J., (2004). Identifying broken plurals in unvowelised Arabic text
Almuhareb, A. and Poesio, M., (2004). Attribute-based and value-based clustering: An evaluation
Poesio, M., (2004). The MATE/GNOME proposals for anaphoric annotation, revisited
Poesio, M., Mehta, R., Maroudas, A. and Hitzeman, J., (2004). Learning to resolve bridging references
Karamanis, N., Poesio, M., Mellish, C. and Oberlander, J., (2004). Evaluating Centering-based metrics of coherence for text structuring using a reliably annotated corpus
Poesio, M., Ishikawa, T., Im Walde, SS. and Vieira, R., (2002). Acquiring lexical knowledge for anaphora resolution
Cheng, H., Poesio, M., Henschel, R. and Mellish, C., (2001). Corpus-based NP modifier generation
Poesio, M., (2000). Annotating a corpus to develop and evaluate discourse entity realization algorithms: Issues and preliminary results
Matheson, C., Poesio, M. and Traum, D., (2000). Modelling grounding and discourse obligations using update rules
Poesio, M., Cheng, H., Henschel, R., Hitzeman, J., Kibble, R. and Stevenson, R., (2000). Specifying the parameters of centering theory: A corpus-based evaluation using text from application-oriented domains
Poesio, M. and Mikheev, A., (1998). The Predictive Power of Game Structure in Dialogue Act Recognition: Experimental Results Using Maximum Entropy Estimation
Davies, S. and Poesio, M., (1998). THE PROVISION OF CORRECTIVE FEEDBACK IN A SPOKEN DIALOGUE CALL SYSTEM
Hitzeman, J. and Poesio, M., (1998). Long distance pronominalisation and global focus
Poesio, M., (1993). Assigning a semantic scope to operators
Kameyama, M., Passonneau, R. and Poesio, M., (1993). Temporal centering
Poesio, M., (1993). Definite Descriptions and the Dynamics of Mental States
Poesio, M. and Brachman, RJ., (1991). Metric Constraints for Maintaining Appointments; Dates and Repeated Activities
Reports and Papers (2)
Poesio, M., Cheng, H., Hitzeman, J., Stevenson, R. and di Eugenio, B., (2002). A Corpus-based Evaluation of Centering Theory
Poesio, M., di Eugenio, B. and Keohane, G., (2002). Discourse Structure and Anaphora: An Empirical Study