TY - GEN
T1 - Drug Target Extraction from Biomedical Articles Based on a Two-Stage Cascading Framework
AU - Li, Xuesi
AU - Ding, Liangping
AU - Zhang, Zhixiong
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/10/3
Y1 - 2023/10/3
N2 - Automatic access to drug target in biomedical articles is crucial for drug innovation. Determining a drug target requires specific context, which is usually expressed as a certain sentence. Thus, this study develops a two-stage cascading framework for extracting drug target from biomedical article, in which drug target sentences are identified first and then passed to the second stage to identify the drug target entity. The experiments show that our method could be a feasible way to automatically extract drug target knowledge from biomedical articles.
AB - Automatic access to drug target in biomedical articles is crucial for drug innovation. Determining a drug target requires specific context, which is usually expressed as a certain sentence. Thus, this study develops a two-stage cascading framework for extracting drug target from biomedical article, in which drug target sentences are identified first and then passed to the second stage to identify the drug target entity. The experiments show that our method could be a feasible way to automatically extract drug target knowledge from biomedical articles.
KW - drug target extraction
KW - sequence labeling
KW - text classification
UR - http://www.scopus.com/inward/record.url?scp=85174566086&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/ed6f1c31-e85e-38c9-8c98-16b4a1fd3010/
U2 - 10.1109/JCDL57899.2023.00044
DO - 10.1109/JCDL57899.2023.00044
M3 - Conference contribution
AN - SCOPUS:85174566086
SN - 9798350399318
T3 - Proceedings of the ACM/IEEE Joint Conference on Digital Libraries
SP - 245
EP - 246
BT - Proceedings of the ACM/IEEE Joint Conference on Digital Libraries
PB - IEEE
T2 - 2023 ACM/IEEE Joint Conference on Digital Libraries, JCDL 2023
Y2 - 26 June 2023 through 30 June 2023
ER -