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Volumn , Issue , 2005, Pages 379-386

Detection of entity mentions occurring in English and Chinese text

Author keywords

[No Author keywords available]

Indexed keywords

INTEGRATED CONTROL; NATURAL LANGUAGE PROCESSING SYSTEMS; SUPPORT VECTOR MACHINES;

EID: 80053280699     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/1220575.1220623     Document Type: Conference Paper
Times cited : (21)

References (11)
  • 1
    • 24044435942 scopus 로고    scopus 로고
    • Reducing multiclass to binary: A unifying approach for margin classifiers
    • E. L. Allwein, R. E Schapire and Y. Singer. 2000. Reducing multiclass to binary: A unifying approach for margin classifiers. Journal of Machine Learning Research, 1:113-141,. (Pubitemid 33738778)
    • (2001) Journal of Machine Learning Research , vol.1 , Issue.2 , pp. 113-141
    • Allwein, E.L.1    Schapire, R.E.2    Singer, Y.3
  • 2
    • 0032632354 scopus 로고    scopus 로고
    • An algorithm that learns what's in a name
    • Dan M. Bikel, Robert L. Schwartz, and Ralph M. Weischedel. 1999 An algorithm that learns what's in a name. Machine Learning, Vol. 34, pp. 211-231.
    • (1999) Machine Learning , vol.34 , pp. 211-231
    • Bikel, D.M.1    Schwartz, R.L.2    Weischedel, R.M.3
  • 3
    • 27144489164 scopus 로고    scopus 로고
    • Tutorial on support vector machines for pattern recognition
    • Chiristopher J. C. Burges 1998. Tutorial on Support Vector Machines for Pattern Recognition. Data Mining and Knowledge Discovery, 2(2), pages 1-47.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 1-47
    • Burges, C.J.C.1
  • 4
    • 84976766949 scopus 로고
    • The entity-relationship model: Toward a unified view of data
    • Peter P. Chen 1976. The Entity-Relationship Model: Toward a Unified View of Data. ACM Trans. on Database Systems, Vol. 1, No. 1, pages 1-36.
    • (1976) ACM Trans. on Database Systems , vol.1 , Issue.1 , pp. 1-36
    • Chen, P.P.1
  • 6
    • 85140744814 scopus 로고    scopus 로고
    • Combining lexical syntactic and semantic features with maximum entropy models for extracting relations
    • Nanda Kambhatla. 2004. Combining Lexical Syntactic and Semantic Features with Maximum Entropy Models for Extracting Relations. Proceedings of ACL-04.
    • (2004) Proceedings of ACL-04
    • Kambhatla, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.