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Disagreements and Language Interpretation

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Publications

Experiment-Driven Development of a GWAP for Marking Segments in Text

Author(s): Chris Madge, Jon Chamberlain, Udo Kruschwitz, Massimo Poesio
Published in: Proceedings of the CHIPLAY Conference, 2017

Metrics of games-with-a-purpose for NLP applications

Author(s): Jon Chamberlain, Richard Bartle, Udo Kruschwitz, Chris Madge, Massimo Poesio
Published in: Proceedings of GAMES4NLP 2017, 2017

Testing game mechanics in games with a purpose for NLP applications

Author(s): Chris Madge, Richard Bartle, Jon Chamberlain, Udo Kruschwitz, Massimo Poesio
Published in: Proceedings of the GAMES4NLP Symposium, 2017

Anaphora Resolution with the ARRAU corpus

Author(s): Massimo Poesio, Yulia Grishina, Varada Kolhatkar,Nafise Sadat Moosavi, Ina Roesiger, Adam Roussel, Fabian Simonjetz, Alexandra Uma,Olga Uryupina, Juntao Yu, Heike Zinsmeister
Published in: Proceedings of the NAACL Workshop on Computational Models of Reference, Anaphora and Coreference, 2018

A probabilistic annotation model for crowdsourcing coreference

Author(s): Silviu Paun, Jon Chamberlain, Udo Kruschwitz, Juntao Yu, Massimo Poesio
Published in: Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018, Page(s) 1926-1937

Comparing Bayesian Models of Annotation

Author(s): Silviu Paun, Bob Carpenter, Jon Chamberlain, Dirk Hovy, Udo Kruschwitz, Massimo Poesio
Published in: Transactions of the Association for Computational Linguistics, 2018, Page(s) 571-585, ISSN 2307-387X

Optimising crowdsourcing efficiency: Amplifying human computation with validation

Author(s): Jon Chamberlain, Udo Kruschwitz, Massimo Poesio
Published in: it - Information Technology, Issue 60/1, 2018, Page(s) 41-49, ISSN 2196-7032
DOI: 10.1515/itit-2017-0020

Annotating a broad range of anaphoric phenomena, in a variety of genres: the ARRAU corpus

Author(s): Olga Uryupina, Ron Artstein, Antonella Bristot, Federica Cavicchio, Francesca Delogu, Kepa Rodriguez, and Massimo Poesio
Published in: Natural Language Engineering, 2019, ISSN 1351-3249