The Referential Reader: A Recurrent Entity Network for Anaphora Resolution

ACL 2019

The Referential Reader: A Recurrent Entity Network for Anaphora Resolution

Feb 02, 2021
|
33 views
|
Details
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. Author: Fei Liu, Luke Zettlemoyer, Jacob Eisenstein (The University of Melbourne, Facebook AI Research)

Comments
loading...