External Knowledge-Based Weakly Supervised Learning Approach on Chinese Clinical Named Entity Recognition-Reference-Cited by-同舟云学术

External Knowledge-Based Weakly Supervised Learning Approach on Chinese Clinical Named Entity Recognition

Published:2020 Issue: Volume: Page:336-352
ISSN:0302-9743
Container-title:Semantic Technology
language:
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Author:

Duan Yeheng,Ma Long-Long,Han Xianpei,Sun Le,Dong Bin,Jiang Shanshan

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-41407-8_22

Reference42 articles.

1. Kundeti, S.R., Vijayananda, J., Mujjiga, S., Kalyan, M.: Clinical named entity recognition: challenges and opportunities. In: 2016 IEEE International Conference on Big Data (Big Data), pp. 1937–1945. Washington, DC (2016)

2. Jiang, Z., Zhao, F., Guan, Y., Yang, J.: Research on Chinese electronic medical record oriented lexical corpus annotation. Chin. High Technol. Lett. 24(6), 609–615 (2014)

3. Deleger, L., et al.: Overview of the bacteria biotope task at bionlp shared task 2016. In Proceedings of the 4th BioNLP Shared Task Workshop, pp. 12–22 (2016)

4. Alfonseca, E, Manandhar, S.: An unsupervised method for general named entity recognition and automated concept discovery. In: Proceedings of the 1st international conference on general WordNet, Mysore, India, pp. 34–43 (2002)

5. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);D Nadeau,2006

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