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Volumn 1621, Issue , 1999, Pages 323-328

Knowledge acquisition of predicate argument structures from technical texts using machine learning: The system ASIUM

Author keywords

Clustering; Corpus based learning; Machine learning; Natural language processing; Ontology; Predicate argument structure

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL LINGUISTICS; KNOWLEDGE ACQUISITION; LEARNING ALGORITHMS; LINGUISTICS; MERGERS AND ACQUISITIONS; NATURAL LANGUAGE PROCESSING SYSTEMS; ONTOLOGY; SEMANTICS; SYNTACTICS;

EID: 84956854494     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper
Times cited : (22)

References (15)
  • 11
    • 84989559243 scopus 로고
    • The limitations of term co-occurrence data for query expansion in document retrieval systems
    • H.J. Peat and P. Willet. The limitations of term co-occurrence data for query expansion in document retrieval systems. Journal of the American Society for Information Science, 42(5):378-383, 1991.
    • (1991) Journal of the American Society for Information Science , vol.42 , Issue.5 , pp. 378-383
    • Peat, H.J.1    Willet, P.2
  • 13
    • 0001526690 scopus 로고
    • Comparing conceptual structures: Consensus, conflict, correspondence and contrast
    • M.L.G. Shaw and B. R. Gaines. Comparing conceptual structures: consensus, conflict, correspondence and contrast. In Knowledge Acquisition, volume 1, pages 341-363, 1989.
    • (1989) Knowledge Acquisition , vol.1 , pp. 341-363
    • Shaw, M.1    Gaines, B.R.2
  • 14


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.