BERT masked language modeling for co-reference resolution
Document typeConference report
Rights accessOpen Access
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.