PKDE4J: Entity and relation extraction for public knowledge discovery

Journal of Biomedical Informatics

Volumn 57, Issue , 2015, Pages 320-332

  Song, Min ^a   Kim, Won Chul ^a   Lee, Dahee ^a   Heo, Go Eun ^a   Kang, Keun Young ^a  

^a Yonsei University   (South Korea)

Author keywords

Information extraction; Named entity recognition; Relation extraction; Text mining

Indexed keywords

CHARACTER RECOGNITION; INFORMATION ANALYSIS; INFORMATION RETRIEVAL; NATURAL LANGUAGE PROCESSING SYSTEMS; TEXT PROCESSING;

COMPETITIVE PERFORMANCE; EXTENSIBLE FRAMEWORK; HYPOTHESIS GENERATION; NAMED ENTITY RECOGNITION; RELATION EXTRACTION; SCIENTIFIC PUBLICATIONS; TEXT MINING; TEXT MINING TECHNIQUES;

DATA MINING;

ACCURACY; ARTICLE; AUTOMATION; DATA ANALYSIS; DATA EXTRACTION; DATA MINING; DATA SYNTHESIS; KNOWLEDGE DISCOVERY; PRIORITY JOURNAL; PROCESS DEVELOPMENT; INFORMATION RETRIEVAL; KNOWLEDGE; PUBLICATION;

DATA MINING; KNOWLEDGE; LITERATURE BASED DISCOVERY; PERIODICALS AS TOPIC; PUBLICATIONS;

EID: 84949497303     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2015.08.008     Document Type: Article

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