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Volumn , Issue , 2007, Pages 359-365

A unified approach to researcher profiling

Author keywords

[No Author keywords available]

Indexed keywords

CONDITIONAL RANDOM FIELDS; INTERNATIONAL CONFERENCES; PAPER ADDRESSES; SUB-TASKS; UNIFIED APPROACH; WEB INTELLIGENCE;

EID: 48349096227     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WI.2007.14     Document Type: Conference Paper
Times cited : (20)

References (21)
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    • N. Craswell, A. de Vries, and I. Soboroff. Overview of the Trec-2005 Enterprise Track. TREC 2005 Conference Notebook, pp. 199-205.
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    • 0031268341 scopus 로고    scopus 로고
    • Factorial Hidden Markov Models
    • Z. Ghahramani and M. Jordan. Factorial Hidden Markov Models. Machine Learning, 1997, 29:245-273.
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    • Some Statistical Issues in the Comparison of Speech Recognition Algorithms
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    • Semantic Enhancement Engine: A Modular Document Enhancement Platform for Semantic Applications over Heterogeneous Content
    • IOS Press
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    • Hammond, B.1    Sheth, A.2    Kochut, K.3
  • 12
    • 0142192295 scopus 로고    scopus 로고
    • Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
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    • Proc. of ICML2001
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 13
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    • Maximum Entropy Markov Models for Information Extraction and Segmentation
    • A. McCallum, D. Freitag, and F. Pereira. Maximum Entropy Markov Models for Information Extraction and Segmentation. In Proc. of the ICML2000.
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    • R. Sproat, A. Black, S. Chen, S. Kumar, M. Ostendorf, and C. Richards. Normalization of Non-Standard Words, WS'99 Final Report.
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    • J. Tang, M. Hong, D. Zhang, B. Liang, and J. Li. Information Extraction: Methodologies and Applications. In the book of Emerging Technologies of Text Mining: Techniques and Applications, 2007. (to appear)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.