- 著者
-
Yiran Wang
Hiroyuki Shindo
Yuji Matsumoto
Taro Watanabe
- 出版者
- The Association for Natural Language Processing
- 雑誌
- 自然言語処理 (ISSN:13407619)
- 巻号頁・発行日
- vol.29, no.1, pp.23-52, 2022 (Released:2022-03-15)
- 参考文献数
- 44
- 被引用文献数
-
2
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, GENIA, and NNE datasets to show the effectiveness and efficiency of our proposed method.