A transition-based model for jointly extracting drugs, diseases and adverse drug events

Proceedings - 2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015

Volumn , Issue , 2015, Pages 599-602

  Li, Fei ^a   Ji, Donghong ^a   Wei, Xiaomei ^b   Qian, Tao ^a  

^a WUHAN UNIVERSITY   (China)

^b HUAZHONG AGRICULTURAL UNIVERSITY   (China)

Author keywords

adverse drug events; beam search; joint model; perceptron; transition based

Indexed keywords

BIOINFORMATICS; EXTRACTION; LEARNING ALGORITHMS; NEURAL NETWORKS; PROTEINS;

ADVERSE DRUG EVENTS; BEAM SEARCH; ENTITY RELATION EXTRACTIONS; JOINT MODELING; NAMED ENTITY RECOGNITION; PROTEIN-PROTEIN INTERACTIONS; STATE-OF-THE-ART APPROACH; TRANSITION-BASED;

DRUG INTERACTIONS;

EID: 84962419866     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBM.2015.7359750     Document Type: Conference Paper

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