Named entity recognition method for mine electromechanical equipment field

Author:

Wang Yi Long1ORCID,Wen Ying Zi2ORCID,Wang Yao Hui1ORCID,She Xin Peng2ORCID,Sun Xiao Hu1ORCID,Lyu Xue Qiang2ORCID,Hao Qiang1ORCID

Affiliation:

1. Huaneng Coal Technology Research Co., Ltd, China

2. Beijing Key Laboratory of Network Culture and Digital Communication, Beijing Information Science and Technology University, China

Publisher

ACM

Reference18 articles.

1. 2018. A review of named entity recognition research J;Liu L;Journal of Intelligence,2018

2. 2005. A study on named entity recognition J;Zhang X Y;Computer Science,2005

3. Collins M and Singer Y. 1999. Unsupervised models for named entity classification. In: Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, 1999: 100-110.

4. Bikel D M, Miller S, Schwartz R, 1998. Nymble: a high-performance learning name-finder J. arXiv preprint cmp-lg/9803003, 1998.

5. Borthwick A E. 1999. A maximum entropy approach to named entity recognition. New York:New York University, 1999.

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