Liberal entity extraction: Rapid construction of fine-grained entity typing systems

Big Data

Volumn 5, Issue 1, 2017, Pages 19-31

  Huang, Lifu ^a   May, Jonathan ^b   Pan, Xiaoman ^a   Ji, Heng ^a   Ren, Xiang ^c   Han, Jiawei ^c   Zhao, Lin ^d   Hendler, James A ^a  

^a Rensselaer Polytechnic Institute   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^c UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^d BOSCH RESEARCH AND TECHNOLOGY CENTER   (United States)

Author keywords

fine grained entity typing; Liberal Information Extraction; multi level entity mention and representation; unsupervised learning

Indexed keywords

ALGORITHM; DATA MINING; HUMAN; NATURAL LANGUAGE PROCESSING; PROCEDURES; SEMANTICS; THEORETICAL MODEL; TRANSLATIONAL RESEARCH;

ALGORITHMS; DATA MINING; HUMANS; MODELS, THEORETICAL; NATURAL LANGUAGE PROCESSING; SEMANTICS; TRANSLATIONAL MEDICAL RESEARCH;

EID: 85016399563     PISSN: 21676461     EISSN: 2167647X     Source Type: Journal    
DOI: 10.1089/big.2017.0012     Document Type: Article

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