ACL 2021long28 citations

Nested Named Entity Recognition via Explicitly Excluding the Influence of the Best Path

Yiran Wang, Hiroyuki Shindo, Yuji Matsumoto, Taro Watanabe

Abstract

This paper presents a novel method for nested named entity recognition. As a layered method, our method extends the prior second-best path recognition method by explicitly excluding the influence of the best path. Our method maintains a set of hidden states at each time step and selectively leverages them to build a different potential function for recognition at each level. In addition, we demonstrate that recognizing innermost entities first results in better performance than the conventional outermost entities first scheme. We provide extensive experimental results on ACE2004, ACE2005, and GENIA datasets to show the effectiveness and efficiency of our proposed method.

BibTeX
@inproceedings{wang-etal-2021-nested,
    title = "Nested Named Entity Recognition via Explicitly Excluding the Influence of the Best Path",
    author = "Wang, Yiran  and
      Shindo, Hiroyuki  and
      Matsumoto, Yuji  and
      Watanabe, Taro",
    editor = "Zong, Chengqing  and
      Xia, Fei  and
      Li, Wenjie  and
      Navigli, Roberto",
    booktitle = "Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)",
    month = aug,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.acl-long.275/",
    doi = "10.18653/v1/2021.acl-long.275",
    pages = "3547--3557"
}
Nested Named Entity Recognition via Explicitly Excluding the Influence of the Best Path · ACL 2021