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Volumn , Issue , 2003, Pages 56-62

Updating an NLP System to Fit New Domains: an empirical study on the sentence segmentation problem

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS; MACHINE LEARNING; STATISTICS;

EID: 84891407142     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (11)
  • 1
    • 0030263447 scopus 로고    scopus 로고
    • Mean and variance adaptation within the MLLR framework
    • M.J. Gales and P.C. Woodland. 1996. Mean and variance adaptation within the MLLR framework. Computer Speech and Language, 10:249–264.
    • (1996) Computer Speech and Language , vol.10 , pp. 249-264
    • Gales, M.J.1    Woodland, P.C.2
  • 2
    • 84880663523 scopus 로고    scopus 로고
    • Relational learning for NLP using linear threshold elements
    • R. Khardon, D. Roth, and L. Valiant. 1999. Relational learning for NLP using linear threshold elements. In Proceedings IJCAI-99.
    • (1999) Proceedings IJCAI-99
    • Khardon, R.1    Roth, D.2    Valiant, L.3
  • 4
    • 34250091945 scopus 로고
    • Learning quickly when irrelevant attributes abound: a new linear-threshold algorithm
    • N. Littlestone. 1988. Learning quickly when irrelevant attributes abound: a new linear-threshold algorithm. Machine Learning, 2:285–318.
    • (1988) Machine Learning , vol.2 , pp. 285-318
    • Littlestone, N.1
  • 5
    • 84867119745 scopus 로고
    • Tagging english text with a probabilistic model
    • Bernard Merialdo. 1994. Tagging english text with a probabilistic model. Computational Linguistics, 20:155–171.
    • (1994) Computational Linguistics , vol.20 , pp. 155-171
    • Merialdo, Bernard1
  • 6
    • 85119700740 scopus 로고    scopus 로고
    • Tagging sentence boundaries
    • A. Mikheev. 2000. Tagging sentence boundaries. In NACL’2000, pages 264–271.
    • (2000) NACL’2000 , pp. 264-271
    • Mikheev, A.1
  • 10
    • 0005004572 scopus 로고    scopus 로고
    • A probability analysis on the value of unlabeled data for classification problems
    • Tong Zhang and Frank J. Oles. 2000. A probability analysis on the value of unlabeled data for classification problems. In ICML 00, pages 1191–1198.
    • (2000) ICML 00 , pp. 1191-1198
    • Zhang, Tong1    Oles, Frank J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.