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        <title>BERT Masked Language Modeling for Co-reference Resolution</title>
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        <namePart type="given">Felipe</namePart>
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        <namePart type="given">Marta</namePart>
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        <namePart type="family">Costa-jussà</namePart>
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        <namePart type="given">José</namePart>
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        <namePart type="given">R</namePart>
        <namePart type="family">Fonollosa</namePart>
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            <title>Proceedings of the First Workshop on Gender Bias in Natural Language Processing</title>
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            <namePart type="given">Marta</namePart>
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            <namePart type="given">Christian</namePart>
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        <name type="personal">
            <namePart type="given">Kellie</namePart>
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    <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.</abstract>
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        <date>2019-08</date>
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%0 Conference Proceedings
%T BERT Masked Language Modeling for Co-reference Resolution
%A Alfaro, Felipe
%A Costa-jussà, Marta R.
%A Fonollosa, José A. R.
%Y Costa-jussà, Marta R.
%Y Hardmeier, Christian
%Y Radford, Will
%Y Webster, Kellie
%S Proceedings of the First Workshop on Gender Bias in Natural Language Processing
%D 2019
%8 August
%I Association for Computational Linguistics
%C Florence, Italy
%F alfaro-etal-2019-bert
%X 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.
%R 10.18653/v1/W19-3811
%U https://aclanthology.org/W19-3811
%U https://doi.org/10.18653/v1/W19-3811
%P 76-81

Markdown (Informal)

[BERT Masked Language Modeling for Co-reference Resolution](https://aclanthology.org/W19-3811) (Alfaro et al., GeBNLP 2019)

• BERT Masked Language Modeling for Co-reference Resolution (Alfaro et al., GeBNLP 2019)

ACL

• Felipe Alfaro, Marta R. Costa-jussà, and José A. R. Fonollosa. 2019. BERT Masked Language Modeling for Co-reference Resolution. In Proceedings of the First Workshop on Gender Bias in Natural Language Processing, pages 76–81, Florence, Italy. Association for Computational Linguistics.