A Hybrid Rule-Based and Neural Coreference Resolution System with an Evaluation on Dutch Literature

We introduce a modular, hybrid coreference resolution system that extends a rule-based baseline with three neural classifiers for the subtasks mention detection, mention attributes (gender, animacy, number), and pronoun resolution. The classifiers substantially increase coreference performance in our experiments with Dutch literature across all metrics on the development set: mention detection, LEA, CoNLL, and especially pronoun accuracy. However, on the test set, the best results are obtained with rule-based pronoun resolution. This inconsistent result highlights that the rule-based system is... Mehr ...

Verfasser: van Cranenburgh, Andreas
Ploeger, Esther
van den Berg, Frank
Thüss, Remi
Dokumenttyp: contributionToPeriodical
Erscheinungsdatum: 2021
Verlag/Hrsg.: Association for Computational Linguistics (ACL)
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26670292
Datenquelle: BASE; Originalkatalog
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Link(s) : https://hdl.handle.net/11370/13038524-e17a-44a2-b50b-648a749c7bd9