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Volumn 2005-June, Issue June, 2005, Pages 220-231

Recboost: A supervised approach to automatic text segmentation

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA MINING; METADATA;

EID: 48349084407     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (17)
  • 1
    • 0032092761 scopus 로고    scopus 로고
    • NoDoSE: A tool for semi-automatically extracting semistructured data from text documents
    • B. Adelberg. NoDoSE: A Tool for Semi-Automatically Extracting Semistructured Data from Text Documents. In Proc. ACM SIGMOD Conf. on Management of Data, 1998.
    • (1998) Proc. ACM SIGMOD Conf. on Management of Data
    • Adelberg, B.1
  • 4
    • 84867919822 scopus 로고
    • Transformation-based error-driven learning and natural language processing: A cased study in POS tagging
    • E. Brill. Transformation-based error-driven learning and natural language processing: A cased study in POS tagging. Computational Linguistics, 21(4):543-565, 1995.
    • (1995) Computational Linguistics , vol.21 , Issue.4 , pp. 543-565
    • Brill, E.1
  • 8
    • 3142764439 scopus 로고    scopus 로고
    • Web wrapper induction: A brief survey
    • S. Flesca et al. Web wrapper induction: A brief survey. AI Communications, 17(2), 2004.
    • (2004) AI Communications , vol.17 , Issue.2
    • Flesca, S.1
  • 10
    • 0026890725 scopus 로고
    • Robust part-of-speech tagging using a hidden markov model
    • J. Kupiec. Robust part-of-speech tagging using a hidden markov model. Computer Speech and Language, 6, 1992.
    • (1992) Computer Speech and Language , vol.6
    • Kupiec, J.1
  • 13
    • 17744401443 scopus 로고    scopus 로고
    • A machine learning approach to POS tagging
    • L. Marquez, L. Padro, and H. Rodriguez. A machine learning approach to POS tagging. Machine Learning, 39(1):59-91, 2000.
    • (2000) Machine Learning , vol.39 , Issue.1 , pp. 59-91
    • Marquez, L.1    Padro, L.2    Rodriguez, H.3
  • 14
    • 35048865820 scopus 로고    scopus 로고
    • Taming the unstructured: Creating structured content from partially labeled schematic text sequences
    • S. Mukherjee and I. V. Ramakrishnan. Taming the unstructured: Creating structured content from partially labeled schematic text sequences. In Proc. CoopIS/DOA/ODBASE Int. Conf., pages 909-926, 2004.
    • (2004) Proc. CoopIS/DOA/ODBASE Int. Conf , pp. 909-926
    • Mukherjee, S.1    Ramakrishnan, I.V.2
  • 15
    • 0032624184 scopus 로고    scopus 로고
    • Learning information extraction rules for semi/structured and free text
    • S. Soderland. Learning information extraction rules for semi/structured and free text. Machine Learning, 34:233-272, 1999.
    • (1999) Machine Learning , vol.34 , pp. 233-272
    • Soderland, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.