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BERT masked language modeling for co-reference resolution

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Alfaro, Felipe
Ruiz Costa-Jussà, MartaMés informacióMés informació
Rodríguez Fonollosa, José AdriánMés informacióMés informacióMés informació
Document typeConference report
Defense date2019
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
This paper explains the TALP-UPC participation for the Gendered Pronoun Resolution shared-task of the 1st ACL Workshop on Gender Bias for Natural Language Processing. We have implemented two models for mask language modeling using pre-trained BERT adjusted to work for a classification problem. The proposed solutions are based on the word probabilities of the original BERT model, but using common English names to replace the original test names
CitationAlfaro, F.; Ruiz, M.; Fonollosa, J. A. R. BERT masked language modeling for co-reference resolution. A: Workshop on Gender Bias in Natural Language Processing. "Proceedings of the First Workshop on Gender Bias in Natural Language Processing". 2019, p. 76-81. 
URIhttp://hdl.handle.net/2117/169514
DOI10.18653/v1/W19-3811
Publisher versionhttps://www.aclweb.org/anthology/W19-3811
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  • VEU - Grup de Tractament de la Parla - Ponències/Comunicacions de congressos [436]
  • Departament de Teoria del Senyal i Comunicacions - Ponències/Comunicacions de congressos [3.210]
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