@inproceedings{kato-etal-2017-english,
title = "{E}nglish Multiword Expression-aware Dependency Parsing Including Named Entities",
author = "Kato, Akihiko and
Shindo, Hiroyuki and
Matsumoto, Yuji",
editor = "Barzilay, Regina and
Kan, Min-Yen",
booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
month = jul,
year = "2017",
address = "Vancouver, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P17-2068",
doi = "10.18653/v1/P17-2068",
pages = "427--432",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T English Multiword Expression-aware Dependency Parsing Including Named Entities
%A Kato, Akihiko
%A Shindo, Hiroyuki
%A Matsumoto, Yuji
%Y Barzilay, Regina
%Y Kan, Min-Yen
%S Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
%D 2017
%8 July
%I Association for Computational Linguistics
%C Vancouver, Canada
%F kato-etal-2017-english
%X 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.
%R 10.18653/v1/P17-2068
%U https://aclanthology.org/P17-2068
%U https://doi.org/10.18653/v1/P17-2068
%P 427-432
Markdown (Informal)
[English Multiword Expression-aware Dependency Parsing Including Named Entities](https://aclanthology.org/P17-2068) (Kato et al., ACL 2017)
ACL