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Volumn WS-07-14, Issue , 2007, Pages 32-37

Author disambiguation using error-driven machine learning with a ranking loss function

Author keywords

[No Author keywords available]

Indexed keywords

BINARY CLASSIFICATION APPROACH; DATA-SETS; FIRST ORDERS; INFORMATION INTEGRATION ON THE WEB; LOSS FUNCTIONS; MACHINE-LEARNING; SUPERVISED MACHINE LEARNING; TECHNICAL REPORTS; TRAINING ALGORITHMS; TRAINING DATA;

EID: 51849136400     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (55)

References (15)
  • 1
    • 51849117022 scopus 로고    scopus 로고
    • Algorithms for scoring coreference chains
    • Amit, B., and Baldwin, B. 1998. Algorithms for scoring coreference chains. In Proceedings of MUC7.
    • (1998) Proceedings of MUC7
    • Amit, B.1    Baldwin, B.2
  • 2
    • 33745448357 scopus 로고    scopus 로고
    • A latent dirichlet model for unsupervised entity resolution
    • Bhattacharya, I., and Getoor, L. 2006. A latent dirichlet model for unsupervised entity resolution. In SDM.
    • (2006) SDM
    • Bhattacharya, I.1    Getoor, L.2
  • 4
    • 0141496132 scopus 로고    scopus 로고
    • Ultraconservative online algorithms for multiclass problems
    • Crammer, K., and Singer, Y. 2003. Ultraconservative online algorithms for multiclass problems. JMLR 3:951-991.
    • (2003) JMLR , vol.3 , pp. 951-991
    • Crammer, K.1    Singer, Y.2
  • 5
    • 31844433245 scopus 로고    scopus 로고
    • Learning as search optimization: Approximate large margin methods for structured prediction
    • Daumé III, H., and Marcu, D. 2005. Learning as search optimization: Approximate large margin methods for structured prediction. In ICML.
    • (2005) ICML
    • Daumé III, H.1    Marcu, D.2
  • 8
    • 0033281425 scopus 로고    scopus 로고
    • Large margin classification using the perceptron algorithm
    • Freund, Y., and Schapire, R. E. 1999. Large margin classification using the perceptron algorithm. Machine Learning 37(3):277-296.
    • (1999) Machine Learning , vol.37 , Issue.3 , pp. 277-296
    • Freund, Y.1    Schapire, R.E.2
  • 9
    • 4944235920 scopus 로고    scopus 로고
    • Two supervised learning approaches for name disambiguation in author citations
    • ACM Press
    • Han, H.; Giles, L.; Zha, H.; Li, C.; and Tsioutsiouliklis, K. 2004. Two supervised learning approaches for name disambiguation in author citations. In JCDL, 296-305. ACM Press.
    • (2004) JCDL , pp. 296-305
    • Han, H.1    Giles, L.2    Zha, H.3    Li, C.4    Tsioutsiouliklis, K.5
  • 10
    • 27544488429 scopus 로고    scopus 로고
    • Name disambiguation in author citations using a k-way spectral clustering method
    • Han, H.; Zha, H.; and Giles, L. 2005. Name disambiguation in author citations using a k-way spectral clustering method. In JCDL.
    • (2005) JCDL
    • Han, H.1    Zha, H.2    Giles, L.3
  • 11
    • 33750287715 scopus 로고    scopus 로고
    • Efficient name disambiguation for large-scale databases
    • Huang, J.; Ertekin, S.; and Giles, C. L. 2006. Efficient name disambiguation for large-scale databases. In PKDD, 536-544.
    • (2006) PKDD , pp. 536-544
    • Huang, J.1    Ertekin, S.2    Giles, C.L.3
  • 12
    • 84880866959 scopus 로고    scopus 로고
    • Improving author coreference by resource-bounded information gathering from the web
    • Kanani, P.; McCallum, A.; and Pal, C. 2007. Improving author coreference by resource-bounded information gathering from the web. In Proceedings of IJCAI.
    • (2007) Proceedings of IJCAI
    • Kanani, P.1    McCallum, A.2    Pal, C.3
  • 13
    • 27544460727 scopus 로고    scopus 로고
    • Comparative study of name disambiguation problem using a scalable blocking-based framework
    • New York, NY, USA: ACM Press
    • On, B.-W.; Lee, D.; Kang, J.; and Mitra, P. 2005. Comparative study of name disambiguation problem using a scalable blocking-based framework. In JCDL, 344-353. New York, NY, USA: ACM Press.
    • (2005) JCDL , pp. 344-353
    • On, B.-W.1    Lee, D.2    Kang, J.3    Mitra, P.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.