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Volumn 1, Issue , 2007, Pages 937-942

Recognizing textual entailment using a subsequence kernel method

Author keywords

[No Author keywords available]

Indexed keywords

ABSTRACTING; CLASSIFICATION (OF INFORMATION); DATA STRUCTURES; FEATURE EXTRACTION; KNOWLEDGE BASED SYSTEMS; TREES (MATHEMATICS);

EID: 36348978044     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (14)
  • 2
    • 33745860002 scopus 로고    scopus 로고
    • Combining Shallow and Deep NLP Methods for Recognizing Textual Entailment
    • Bos, J. and Markert, K. 2005. Combining Shallow and Deep NLP Methods for Recognizing Textual Entailment. In Proc. of the PASCAL RTE Challenge, pp65-68.
    • (2005) Proc. of the PASCAL RTE Challenge , pp. 65-68
    • Bos, J.1    Markert, K.2
  • 9
    • 37149048515 scopus 로고    scopus 로고
    • Tree Edit Distance for Recognizing Textual Entailment: Estimating the Cost of Insertion
    • Kouylekov, M. and Magnini, B. 2006. Tree Edit Distance for Recognizing Textual Entailment: Estimating the Cost of Insertion. In Proc. of the PASCAL RTE-2 Challenge, pp68-73.
    • (2006) Proc. of the PASCAL RTE-2 Challenge , pp. 68-73
    • Kouylekov, M.1    Magnini, B.2
  • 14
    • 84860508612 scopus 로고    scopus 로고
    • Automatic Learning of Textual Entailments with Cross-pair Similarities
    • Zanzotto, F.M. and Moschitti, A. 2006. Automatic Learning of Textual Entailments with Cross-pair Similarities. In Proc. of ACL2006, pp401-408.
    • (2006) Proc. of ACL2006 , pp. 401-408
    • Zanzotto, F.M.1    Moschitti, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.