Bibliographic Details
| Title: |
End-to-End Models for Chemical-Protein Interaction Extraction: Better Tokenization and Span-Based Pipeline Strategies. |
| Authors: |
Ai X; Department of Computer Science, University of Kentucky, Lexington, USA., Kavuluru R; Division of Biomedical Informatics, Dept. of Internal Medicine, University of Kentucky, Lexington, USA. |
| Source: |
Proceedings. IEEE International Conference on Healthcare Informatics [Proc (IEEE Int Conf Healthc Inform)] 2023 Jun; Vol. 2023, pp. 610-618. Date of Electronic Publication: 2023 Dec 11. |
| Publication Type: |
Journal Article |
| Journal Info: |
Publisher: The Institute of Eletrical and Electronics Engineers, Inc Country of Publication: United States NLM ID: 101683411 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2575-2626 (Print) Linking ISSN: 25752626 NLM ISO Abbreviation: Proc (IEEE Int Conf Healthc Inform) Subsets: PubMed not MEDLINE |
| Database: |
MEDLINE Ultimate |
