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Volumn 2, Issue 4, 2002, Pages 615-637

Text Chunking based on a Generalization of Winnow

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EID: 0347617360     PISSN: 15324435     EISSN: None     Source Type: Journal    
DOI: 10.1162/153244302320884560     Document Type: Article
Times cited : (139)

References (19)
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    • Relational learning for NLP using linear threshold elements
    • R. Khardon, D. Roth, and L. Valiant. Relational learning for NLP using linear threshold elements. In Proceedings IJCAI-99, 1999.
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    • Khardon, R.1    Roth, D.2    Valiant, L.3
  • 7
    • 0008815681 scopus 로고    scopus 로고
    • Additive versus exponentiated gradient updates for linear prediction
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  • 8
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    • Chunking with support vector machines
    • Taku Kudo and Yuji Matsumoto. Chunking with support vector machines. In NAACL-2001, 2001.
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    • Kudo, T.1    Matsumoto, Y.2
  • 9
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    • Use of support vector learning for chunk identification
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    • Kudoh, T.1    Matsumoto, Y.2
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    • Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm
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    • Slot grammar: A system for simple construction of practical natural language grammars
    • Michael McCord. Slot grammar: a system for simple construction of practical natural language grammars. Natural Language and Logic, pages 118-145, 1989.
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    • The use of classifiers in sequential inference
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    • Vasin Punyakanok and Dan Roth. The use of classifiers in sequential inference. In Todd K. Leen, Thomas G. Dietterich, and Volker Tresp, editors, Advances in Neural Information Processing Systems 13, pages 995-1001. MIT Press, 2001.
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  • 18
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    • On the dual formulation of regularized linear systems
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