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

Autor: van Cranenburgh, Andreas, Ploeger, Esther, van den Berg, Frank, Thüss, Remi, Ogrodniczuk, Maciej, Pradhan, Sameer, Poesio, Massimo, Grishina, Yulia, Ng, Vincent

Publikováno v: Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference, 47-56
STARTPAGE=47;ENDPAGE=56;TITLE=Proceedings of the Fourth Workshop on Computational Models of Reference, Anaphora and Coreference

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 su

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=narcis______::9067789e4ddad1c685c66076bfa6b8d0
https://research.rug.nl/en/publications/13038524-e17a-44a2-b50b-648a749c7bd9