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Volumn , Issue , 2012, Pages 881-890

An IR-based evaluation framework for web search query segmentation

Author keywords

evaluation framework; IR evaluation; manual annotation; query segmentation; test collections

Indexed keywords

DATA SETS; EVALUATION FRAMEWORK; HUMAN ANNOTATIONS; MANUAL ANNOTATION; RESEARCH COMMUNITIES; SEGMENTATION ALGORITHMS; TEST COLLECTION; WEB SEARCH QUERIES;

EID: 84866594862     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2348283.2348401     Document Type: Conference Paper
Times cited : (18)

References (16)
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  • 3
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  • 5
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    • Da Costa Carvalho, A.L.1    De Moura, E.S.2    Calado, P.3
  • 9
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    • Unsupervised query segmentation using clickthrough for information retrieval
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    • Y. Li, B.-J. P. Hsu, C. Zhai, and K. Wang. Unsupervised query segmentation using clickthrough for information retrieval. In SIGIR '11, pages 285-294. ACM, 2011.
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  • 12
    • 33750351579 scopus 로고    scopus 로고
    • Query segmentation for web search Posters
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    • Risvik, K.M.1    Mikolajewski, T.2    Boros, P.3
  • 13
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    • Recognition and classification of noun phrases in queries for effective retrieval
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    • W. Zhang, S. Liu, C. Yu, C. Sun, F. Liu, and W. Meng. Recognition and classification of noun phrases in queries for effective retrieval. In CIKM '07, pages 711-720. ACM, 2007.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.