Exploiting the scope of negations and heterogeneous features for relation extraction: A case study for drug-drug interaction extraction

NAACL HLT 2013 - 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Main Conference

Volumn , Issue , 2013, Pages 765-771

  Chowdhury, Md Faisal Mahbub ^a,b   Lavelli, Alberto ^a  

^a ITC IRST   (Italy)

^b UNIVERSITY OF TRENTO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DRUG INTERACTIONS; NATURAL LANGUAGE PROCESSING SYSTEMS;

ANNOTATED DATASETS; CASE-STUDIES; DIFFERENT STAGES; DRUG-DRUG INTERACTIONS; HETEROGENEOUS FEATURES; INTERACTION EXTRACTION; RELATION EXTRACTION; STATE OF THE ART;

EXTRACTION;

EID: 84908006163     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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