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An Improved Biomedical Event Trigger Identification Framework via Modeling Document with Hierarchical Attention

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成果类型:
会议论文
作者:
Zhang, Jinyong;Fang, Dandan;Zhao, Weizhong*;Yang, Jincai;Zou, Wen;...
通讯作者:
Zhao, Weizhong
作者机构:
[Zhang, Jinyong; Zhao, Weizhong; Fang, Dandan; He, Tingting; Jiang, Xingpeng; Yang, Jincai] Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.
[Zhao, Weizhong] Cent China Normal Univ, Hubei Key Lab Artificial Intelligence & Smart Lea, Wuhan, Peoples R China.
[Zhao, Weizhong] Guilin Univ Elect Technol, Guangxi Key Lab Trusted Software, Guilin, Peoples R China.
[Zou, Wen] US FDA, Div Bioinformat & Biostat, Natl Ctr Toxicol Res, Jefferson, AR 72079 USA.
通讯机构:
[Zhao, Weizhong] C
[Zhao, Weizhong] G
Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.
Cent China Normal Univ, Hubei Key Lab Artificial Intelligence & Smart Lea, Wuhan, Peoples R China.
Guilin Univ Elect Technol, Guangxi Key Lab Trusted Software, Guilin, Peoples R China.
语种:
英文
关键词:
biomedical event trigger identification;end-to-end model;hierarchical attention mechanism;adaptive class weight learning
期刊:
2019 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)
ISSN:
2156-1125
年:
2019
页码:
583-589
会议名称:
IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
会议论文集名称:
IEEE International Conference on Bioinformatics and Biomedicine-BIBM
会议时间:
NOV 18-21, 2019
会议地点:
San Diego, CA
会议主办单位:
[Zhang, Jinyong;Fang, Dandan;Zhao, Weizhong;Yang, Jincai;Jiang, Xingpeng;He, Tingting] Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.^[Zhao, Weizhong] Cent China Normal Univ, Hubei Key Lab Artificial Intelligence & Smart Lea, Wuhan, Peoples R China.^[Zhao, Weizhong] Guilin Univ Elect Technol, Guangxi Key Lab Trusted Software, Guilin, Peoples R China.^[Zou, Wen] US FDA, Div Bioinformat & Biostat, Natl Ctr Toxicol Res, Jefferson, AR 72079 USA.
会议赞助商:
IEEE, NSF
主编:
Yoo, IH Bi, JB Hu, X
出版地:
345 E 47TH ST, NEW YORK, NY 10017 USA
出版者:
IEEE
ISBN:
978-1-7281-1867-3
基金类别:
National Key Research and Development Program of China [2017YFC0909502]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61532008, 61872157]; Wuhan Science and Technology Program [2019010701011392]; Central China Normal University [CCNU18JCXK05]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [CCNU19TD004]; Guangxi Key Laboratory of Trusted Software [kx201905]
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
Biomedical event extraction has wide applications in biomedicine field. As a prerequisite step in biomedical event extraction, event trigger identification has attracted growing attention in biomedical research. Although many approaches have been proposed for biomedical event trigger identification, two main challenges still remain for researchers: 1) most of the existing approaches treat each sentence separately in biomedical documents, failing to make full use of the semantics in the global document context; 2) the sparseness of event triggers leads to a serious issue of imbalanced class for...

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