English Multiword Expression-aware Dependency Parsing Including Named Entities

Akihiko Kato, Hiroyuki Shindo, Yuji Matsumoto


Abstract
Because syntactic structures and spans of multiword expressions (MWEs) are independently annotated in many English syntactic corpora, they are generally inconsistent with respect to one another, which is harmful to the implementation of an aggregate system. In this work, we construct a corpus that ensures consistency between dependency structures and MWEs, including named entities. Further, we explore models that predict both MWE-spans and an MWE-aware dependency structure. Experimental results show that our joint model using additional MWE-span features achieves an MWE recognition improvement of 1.35 points over a pipeline model.
Anthology ID:
P17-2068
Volume:
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Month:
July
Year:
2017
Address:
Vancouver, Canada
Editors:
Regina Barzilay, Min-Yen Kan
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
427–432
Language:
URL:
https://aclanthology.org/P17-2068
DOI:
10.18653/v1/P17-2068
Bibkey:
Cite (ACL):
Akihiko Kato, Hiroyuki Shindo, and Yuji Matsumoto. 2017. English Multiword Expression-aware Dependency Parsing Including Named Entities. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 427–432, Vancouver, Canada. Association for Computational Linguistics.
Cite (Informal):
English Multiword Expression-aware Dependency Parsing Including Named Entities (Kato et al., ACL 2017)
Copy Citation:
PDF:
https://aclanthology.org/P17-2068.pdf