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Volumn , Issue , 2013, Pages 41-51

Multi-faceted event recognition with bootstrapped dictionaries

Author keywords

[No Author keywords available]

Indexed keywords

BOOTSTRAPPING ALGORITHM; EVENT DESCRIPTION; EVENT RECOGNITION; HIGH COMPLEXITY; HIGH-ACCURACY; LEARN+; RESEARCH FOCUS; UNANNOTATED TEXTS;

EID: 84910136471     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (39)
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    • 33750388702 scopus 로고    scopus 로고
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    • Amati, G.1    Van Rijsbergen, C.J.2
  • 11
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    • Bottom-up relational learning of pattern matching rules for information extraction
    • M. E. Califf and R. Mooney. 2003. Bottom-up Relational Learning of Pattern Matching rules for Information Extraction. Journal of Machine Learning Research, 4:177-210.
    • (2003) Journal of Machine Learning Research , vol.4 , pp. 177-210
    • Califf, M.E.1    Mooney, R.2
  • 16
    • 85135260740 scopus 로고    scopus 로고
    • Topic tracking for radio, tvbroadcast, and newswire
    • H. Jin, R. Schwartz, S. Sista, and F. Walls. 1999. Topic Tracking for Radio, TV broadcast, and Newswire. In EUROSPEECH.
    • (1999) EUROSPEECH
    • Jin, H.1    Schwartz, R.2    Sista, S.3    Walls, F.4
  • 17
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale support vector machine learning practical
    • A. Smola B. Schölkopf, C. Burges, editor. MIT Press, Cambridge, MA
    • T. Joachims. 1999. Making Large-Scale Support Vector Machine Learning Practical. In A. Smola B. Schölkopf, C. Burges, editor, Advances in Kernel Methods: Support Vector Machines. MIT Press, Cambridge, MA.
    • (1999) Advances in Kernel Methods: Support Vector Machines
    • Joachims, T.1
  • 18
    • 21844461582 scopus 로고    scopus 로고
    • A modified finite newton method for fast solution of large scale linear svms
    • S. Keerthi and D. DeCoste. 2005. A Modified Finite Newton Method for Fast Solution of Large Scale Linear SVMs. Journal of Machine Learning Research.
    • (2005) Journal of Machine Learning Research
    • Keerthi, S.1    Decoste, D.2
  • 29
    • 0028460389 scopus 로고
    • Information extraction as a basis for high-precision text classification
    • July
    • E. Riloff and W. Lehnert. 1994. Information Extraction as a Basis for High-Precision Text Classification. ACM Transactions on Information Systems, 12(3):296-333, July.
    • (1994) ACM Transactions on Information Systems , vol.12 , Issue.3 , pp. 296-333
    • Riloff, E.1    Lehnert, W.2
  • 30
    • 0037891968 scopus 로고    scopus 로고
    • Extraction-based text categorization: Generating domain-specific role relationships automatically
    • Tomek Strzalkowski, editor. Kluwer Academic Publishers
    • E. Riloff and J. Lorenzen. 1999. Extraction-based text categorization: Generating domain-specific role relationships automatically. In Tomek Strzalkowski, editor, Natural Language Information Retrieval. Kluwer Academic Publishers.
    • (1999) Natural Language Information Retrieval
    • Riloff, E.1    Lorenzen, J.2
  • 39
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    • Predicting stock market indicators through twitter " hope it is not as bad as i fear
    • X. Zhang, H. Fuehres, and P. A. Gloor. 2010. Predicting Stock Market Indicators Through Twitter " hope it is not as bad as I fear" In COINs.
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    • Zhang, X.1    Fuehres, H.2    Gloor, P.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.