Professor Massimo Poesio

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

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

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