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        <title>The Referential Reader: A Recurrent Entity Network for Anaphora Resolution</title>
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        <namePart type="given">Fei</namePart>
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    <abstract>We present a new architecture for storing and accessing entity mentions during online text processing. While reading the text, entity references are identified, and may be stored by either updating or overwriting a cell in a fixed-length memory. The update operation implies coreference with the other mentions that are stored in the same cell; the overwrite operation causes these mentions to be forgotten. By encoding the memory operations as differentiable gates, it is possible to train the model end-to-end, using both a supervised anaphora resolution objective as well as a supplementary language modeling objective. Evaluation on a dataset of pronoun-name anaphora demonstrates strong performance with purely incremental text processing.</abstract>
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%0 Conference Proceedings
%T The Referential Reader: A Recurrent Entity Network for Anaphora Resolution
%A Liu, Fei
%A Zettlemoyer, Luke
%A Eisenstein, Jacob
%Y Korhonen, Anna
%Y Traum, David
%Y Màrquez, Lluís
%S Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
%D 2019
%8 July
%I Association for Computational Linguistics
%C Florence, Italy
%F liu-etal-2019-referential
%X We present a new architecture for storing and accessing entity mentions during online text processing. While reading the text, entity references are identified, and may be stored by either updating or overwriting a cell in a fixed-length memory. The update operation implies coreference with the other mentions that are stored in the same cell; the overwrite operation causes these mentions to be forgotten. By encoding the memory operations as differentiable gates, it is possible to train the model end-to-end, using both a supervised anaphora resolution objective as well as a supplementary language modeling objective. Evaluation on a dataset of pronoun-name anaphora demonstrates strong performance with purely incremental text processing.
%R 10.18653/v1/P19-1593
%U https://aclanthology.org/P19-1593
%U https://doi.org/10.18653/v1/P19-1593
%P 5918-5925

Markdown (Informal)

[The Referential Reader: A Recurrent Entity Network for Anaphora Resolution](https://aclanthology.org/P19-1593) (Liu et al., ACL 2019)

• The Referential Reader: A Recurrent Entity Network for Anaphora Resolution (Liu et al., ACL 2019)

ACL

• Fei Liu, Luke Zettlemoyer, and Jacob Eisenstein. 2019. The Referential Reader: A Recurrent Entity Network for Anaphora Resolution. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5918–5925, Florence, Italy. Association for Computational Linguistics.