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Volumn , Issue , 2007, Pages 695-696

Revisiting the dependence language model for information retrieval

Author keywords

Information retrieval; Language model; Syntactic semantic

Indexed keywords

INFORMATION RETRIEVAL; MATHEMATICAL MODELS; SEMANTICS; SYNTACTICS;

EID: 36448962683     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1277741.1277863     Document Type: Conference Paper
Times cited : (15)

References (6)
  • 1
    • 8644247561 scopus 로고    scopus 로고
    • Dependence language model for information retrieval
    • J. Gao, J.-Y. Nie, G. Wu, and G. Cao. Dependence language model for information retrieval. In SIGIR, 2004.
    • (2004) SIGIR
    • Gao, J.1    Nie, J.-Y.2    Wu, G.3    Cao, G.4
  • 2
    • 33745466795 scopus 로고    scopus 로고
    • Dependency structure language model for information retrieval
    • C. Lee, G. G. Lee, and M. G. Jang. Dependency structure language model for information retrieval. In ETRI journal, 2006.
    • (2006) ETRI journal
    • Lee, C.1    Lee, G.G.2    Jang, M.G.3
  • 4
    • 0242495825 scopus 로고    scopus 로고
    • Y. H. H. Lowe and W. Hersh. A pilot study of contextual UMLS indexing to improve the precision of concept-based representation in XML-structured clinical radiology reports. In AMIA, 2003.
    • Y. H. H. Lowe and W. Hersh. A pilot study of contextual UMLS indexing to improve the precision of concept-based representation in XML-structured clinical radiology reports. In AMIA, 2003.
  • 5
    • 0032268440 scopus 로고    scopus 로고
    • A language modeling approach to information retrieval
    • J. M. Ponte and W. B. Croft. A language modeling approach to information retrieval. In SIGIR., 1998.
    • (1998) SIGIR
    • Ponte, J.M.1    Croft, W.B.2
  • 6
    • 0036995514 scopus 로고    scopus 로고
    • Biterm language models for document retrieval
    • M. Srikanth and R. Srikanth. Biterm language models for document retrieval. In SIGIR, 2002.
    • (2002) SIGIR
    • Srikanth, M.1    Srikanth, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.