@inproceedings{8b241782a63944689acffadb542e6d17,
title = "LACNNER: Lexicon-Aware Character Representation for Chinese Nested Named Entity Recognition",
abstract = "Named Entity Recognition (NER) is one of fundamental researches in natural language processing. Chinese nested-NER is even more challenging. Recently, studies on NER have generally focused on the extraction of flat structures by sequence annotation strategy while ignoring nested structures. In this paper, we propose a novel model, named LACNNER, that utilizing lexicon-aware character representation for Chinese nested NER. We select the typical character-level framework to overcome error propagation problem caused by incorrect word separation. Considering the situation that Chinese words always contain much richer semantic information than single characters do, it firstly obtains more significant matching words through external lexicon in our LACNNER model, and then generates lexicon-aware character representations that make full use of word-level knowledge for nested named entity. We also evaluate the effectiveness of LACNNER by taking ACE-2005-Zh dataset as a benchmark. The experimental results fully verified the positive effect of incorporating lexicon-aware character-representation in recognition of Chinese nested entity structure.",
keywords = "Character embedding, Chinese nested NER, Information extraction",
author = "Zhikun Yang and Shumin Shi and Junyu Tian and En Li and Heyan Huang",
note = "Publisher Copyright: {\textcopyright} 2022, Springer Nature Switzerland AG.; 13th International Conference on Swarm Intelligence, ICSI 2022 ; Conference date: 15-07-2022 Through 19-07-2022",
year = "2022",
doi = "10.1007/978-3-031-09726-3_23",
language = "English",
isbn = "9783031097256",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "254--264",
editor = "Ying Tan and Yuhui Shi and Ben Niu",
booktitle = "Advances in Swarm Intelligence - 13th International Conference, ICSI 2022, Proceedings, Part II",
address = "Germany",
}