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

Theme Issue 2022: Health Natural Language Processing and Applications (CHIP) (27) Natural Language Processing (693)

Published on in Vol 10, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37804, first published .
Conditional Probability Joint Extraction of Nested Biomedical Events: Design of a Unified Extraction Framework Based on Neural Networks

Conditional Probability Joint Extraction of Nested Biomedical Events: Design of a Unified Extraction Framework Based on Neural Networks

Conditional Probability Joint Extraction of Nested Biomedical Events: Design of a Unified Extraction Framework Based on Neural Networks

Authors of this article:

Yan Wang1 Author Orcid Image ;   Jian Wang1 Author Orcid Image ;   Huiyi Lu2 Author Orcid Image ;   Bing Xu2 Author Orcid Image ;   Yijia Zhang3 Author Orcid Image ;   Santosh Kumar Banbhrani1 Author Orcid Image ;   Hongfei Lin1 Author Orcid Image
Article Authors Cited by (9) Tweetations (3) Metrics

Journals

  1. Yang Y, Lin H, Yang Z, Zhang Y, Zhao D, Huai S. ADPG: Biomedical entity recognition based on Automatic Dependency Parsing Graph. Journal of Biomedical Informatics 2023;140:104317 View
  2. Wang L, Cao H, Yuan L, Guo X, Cui Y. Child-Sum EATree-LSTMs: enhanced attentive Child-Sum Tree-LSTMs for biomedical event extraction. BMC Bioinformatics 2023;24(1) View
  3. Su F, Qian T, Zhou J, Li B, Li F, Teng C, Ji D. A tree-like structured perceptron for transition-based biomedical event extraction. Knowledge-Based Systems 2024;283:111180 View
  4. Hu J, Tang B, Lyu N, He Y, Xiong Y. CMBEE: A constraint-based multi-task learning framework for biomedical event extraction. Journal of Biomedical Informatics 2024;150:104599 View
  5. Ma S, Jiang S, Yang O, Zhang X, Fu Y, Zhang Y, Kaareen A, Ling M, Chen J, Shang C. Use of Machine Learning Tools in Evidence Synthesis of Tobacco Use Among Sexual and Gender Diverse Populations: Algorithm Development and Validation. JMIR Formative Research 2024;8:e49031 View
  6. Wang L, Cao H, Yuan L. Child-Sum (N2E2N)Tree-LSTMs: An interactive Child-Sum Tree-LSTMs to extract biomedical event. Systems and Soft Computing 2024;6:200075 View
  7. Wu P, Li X, Gu J, Qian L, Zhou G. Pipelined biomedical event extraction rivaling joint learning. Methods 2024;226:9 View
  8. Wang Z, Ren Y, Peng Q, Ji D. A context-enhanced neural network model for biomedical event trigger detection. Information Sciences 2025;691:121625 View

Books/Policy Documents

  1. Chen G, Wu P, Gu J, Qian L, Zhou G. Natural Language Processing and Chinese Computing. View