@inproceedings{lee-choi-2018-connecting,
title = "Connecting Distant Entities with Induction through Conditional Random Fields for Named Entity Recognition: Precursor-Induced {CRF}",
author = "Lee, Wangjin and
Choi, Jinwook",
editor = "Chen, Nancy and
Banchs, Rafael E. and
Duan, Xiangyu and
Zhang, Min and
Li, Haizhou",
booktitle = "Proceedings of the Seventh Named Entities Workshop",
month = jul,
year = "2018",
address = "Melbourne, Australia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-2402",
doi = "10.18653/v1/W18-2402",
pages = "9--13",
abstract = "This paper presents a method of designing specific high-order dependency factor on the linear chain conditional random fields (CRFs) for named entity recognition (NER). Named entities tend to be separated from each other by multiple outside tokens in a text, and thus the first-order CRF, as well as the second-order CRF, may innately lose transition information between distant named entities. The proposed design uses outside label in NER as a transmission medium of precedent entity information on the CRF. Then, empirical results apparently demonstrate that it is possible to exploit long-distance label dependency in the original first-order linear chain CRF structure upon NER while reducing computational loss rather than in the second-order CRF.",
}
Markdown (Informal)
[Connecting Distant Entities with Induction through Conditional Random Fields for Named Entity Recognition: Precursor-Induced CRF](https://aclanthology.org/W18-2402) (Lee & Choi, NEWS 2018)
ACL