Domain-specific entity extraction from noisy, unstructured data using ontology-guided search

International Journal on Document Analysis and Recognition

Volumn 14, Issue 2, 2011, Pages 201-211

  Bratus, Sergey ^a   Rumshisky, Anna ^c   Khrabrov, Alexy ^b   Magar, Rajenda ^a   Thompson, Paul ^a  

^a Dartmouth College   (United States)

^b DARTMOUTH COLLEGE   (United States)

^c BRANDEIS UNIVERSITY   (United States)

Author keywords

Information extraction; Language models; Ontology guided search; Text analysis

Indexed keywords

AUTOMOTIVE DOMAINS; CONDITIONAL RANDOM FIELD; CONTEXT MODELS; DOMAIN SPECIFIC; DOMAIN-SPECIFIC KNOWLEDGE; DYNAMIC REASONING; ELECTRONIC HEALTH RECORD; ENTITY DISAMBIGUATION; ENTITY EXTRACTIONS; F-SCORE; GENERAL MOTORS; INFORMATION EXTRACTION; KNOWLEDGE SOURCES; LANGUAGE MODELS; MEDICAL DOMAINS; ONTOLOGY-GUIDED SEARCH; STRUCTURED DATA; TEXT ANALYSIS; TEXT DATA; UNIT STRUCTURE; UNSTRUCTURED DATA; WEALTH OF INFORMATION;

COMPUTATIONAL LINGUISTICS; HIDDEN MARKOV MODELS; IMAGE SEGMENTATION; RECORDS MANAGEMENT; REPAIR;

ONTOLOGY;

EID: 79957442904     PISSN: 14332833     EISSN: 14332825     Source Type: Journal    
DOI: 10.1007/s10032-011-0149-5     Document Type: Article

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