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The Referential Reader: A Recurrent Entity Network for Anaphora Resolution ...
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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. ... : Published at the 57th Annual Meeting of the Association for Computational Linguistics (ACL) 2019. Source code available at: https://github.com/liufly/refreader ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
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URL: https://arxiv.org/abs/1902.01541 https://dx.doi.org/10.48550/arxiv.1902.01541
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