Chinese Named Entity Recognition with Conditional Random Fields in the Light of Chinese Characteristics

Author:

Han Aaron L. -F.,Wong Derek F.,Chao Lidia S.

Publisher

Springer Berlin Heidelberg

Reference30 articles.

1. Ratinov, L., Roth, D.: Design Challenges and Misconceptions in Named Entity Recognition. In: Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL 2009), pp. 147–155. Association for Computational Linguistics Press, Stroudsburg (2009)

2. Sang, E.F.T.K., Meulder, F.D.: Introduciton to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition. In: HLT-NAACL, pp. 142–147. ACL Press, USA (2003)

3. Sobhana, N., Mitra, P., Ghosh, S.: Conditional Random Field Based Named Entity Recognition in Geological text. J. IJCA 1(3), 143–147 (2010)

4. Settles, B.: Biomedical named entity recognition using conditional random fields and rich feature sets. In: Collier, N., Ruch, P., Nazarenko, A. (eds.) International Joint Workshop on Natural Language Processing in Biomedicine and its Applications, pp. 104–107. ACL Press, Stroudsburg (2004)

5. Levow, G.A.: The third international CLP bakeoff: Word segmentation and named entity recognition. In: Proceedings of the Fifth SIGHAN Workshop on CLP, pp. 122–131. ACL Press, Sydney (2006)

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Exploiting global contextual information for document-level named entity recognition;Knowledge-Based Systems;2024-01

2. Extraction of Medication and Temporal Relation from Clinical Text using Neural Language Models;2023 IEEE International Conference on Big Data (BigData);2023-12-15

3. Multi-Source Education Knowledge Graph Construction and Fusion for College Curricula;2023 IEEE International Conference on Advanced Learning Technologies (ICALT);2023-07

4. Postal address extraction from the web: a comprehensive survey;Artificial Intelligence Review;2021-03-14

5. Chinese Named Entity Recognition Based on Bi-directional Quasi-Recurrent Neural Networks improved with BERT;2021 the 5th International Conference on Innovation in Artificial Intelligence;2021-03-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3