This paper is in the following e-collection/theme issue:

Theme Issue 2021: Health Natural Language Processing and Applications (16) Clinical Information and Decision Making (1339) Natural Language Processing (650) Ontologies, Classifications, and Coding (226)

Published on in Vol 9, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28219, first published .
Extraction of Traditional Chinese Medicine Entity: Design of a Novel Span-Level Named Entity Recognition Method With Distant Supervision

Extraction of Traditional Chinese Medicine Entity: Design of a Novel Span-Level Named Entity Recognition Method With Distant Supervision

Extraction of Traditional Chinese Medicine Entity: Design of a Novel Span-Level Named Entity Recognition Method With Distant Supervision

Authors of this article:

Qi Jia1, 2 Author Orcid Image ;   Dezheng Zhang1, 2 Author Orcid Image ;   Haifeng Xu1, 2 Author Orcid Image ;   Yonghong Xie1, 2 Author Orcid Image
Article Authors Cited by (4) Tweetations (2) Metrics

Journals

  1. Ma Y, Liu Y, Zhang D, Zhang J, Liu H, Xie Y, Zhang D. A Multigranularity Text Driven Named Entity Recognition CGAN Model for Traditional Chinese Medicine Literatures. Computational Intelligence and Neuroscience 2022;2022:1 View
  2. Zhang T, Huang Z, Wang Y, Wen C, Peng Y, Ye Y, Zhou X. Information Extraction from the Text Data on Traditional Chinese Medicine: A Review on Tasks, Challenges, and Methods from 2010 to 2021. Evidence-Based Complementary and Alternative Medicine 2022;2022:1 View
  3. Pan D, Guo Y, Fan Y, Wan H. Development and Application of Traditional Chinese Medicine Using AI Machine Learning and Deep Learning Strategies. The American Journal of Chinese Medicine 2024;52(03):605 View