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Volumn , Issue , 2008, Pages 1085-1090

Using wikipedia for co-clustering based cross-domain text classification

Author keywords

[No Author keywords available]

Indexed keywords

AUXILIARY DATA; AUXILIARY INFORMATION; CLASSIFICATION ALGORITHM; CLASSIFICATION TASKS; CO-CLUSTERING; CROSS-DOMAIN; DOCUMENT CLASSIFICATION; EFFECTIVE LEARNING; LABELED DATA; LATENT SEMANTICS; LEARNING TASKS; SEMANTIC CONCEPT; TARGET DOMAIN; TEXT CLASSIFICATION; TRAINING DATA; TRANSFER LEARNING; TWO DOMAINS; WIKIPEDIA;

EID: 67049165478     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2008.136     Document Type: Conference Paper
Times cited : (36)

References (16)
  • 9
    • 33750719969 scopus 로고    scopus 로고
    • Overcoming the brittleness bottleneck using wikipedia: Enhancing text categorization with encyclopedic knowledge
    • E. Gabrilovich and S. Markovitch. Overcoming the brittleness bottleneck using wikipedia: Enhancing text categorization with encyclopedic knowledge. In AAAI Conference on Artificial Intelligence, 2006.
    • (2006) AAAI Conference on Artificial Intelligence
    • Gabrilovich, E.1    Markovitch, S.2
  • 12
    • 67049096537 scopus 로고    scopus 로고
    • A. K. McCallum. Simulated/real/aviation/auto usenet data
    • A. K. McCallum. Simulated/real/aviation/auto usenet data.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.