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An Empirical Study of Active Learning with Support Vector Machines for Japanese Word Segmentation (2002)  (Make Corrections)  (1 citation)
Manabu Sassano



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Abstract: We explore how active learning with Support Vector Machines works well for a non-trivial task in natural language processing. (Update)

Context of citations to this paper:   More

.... framework, certainty based methods have been used for natural language parsing and information extraction [7, 8] and word segmentation [9]. In our previous work, we have presented an active learning approach for automatic speech recognition [10] 3. APPROACH In this study we...

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Active Learning For Spoken Language Understanding - Tur, Schapire, Hakkani-Tür (2003)   (Correct)

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BibTeX entry:   (Update)

M. Sassano, "An empirical study of active learning with support vector machines for japanese word segmentation, " in Proceedings the ACL, 2002. http://citeseer.ist.psu.edu/sassano02empirical.html   More

@misc{ sassano02empirical,
  author = "M. Sassano",
  title = "An empirical study of active learning with support vector machines for
    japanese word segmentation",
  text = "M. Sassano, An empirical study of active learning with support vector machines
    for japanese word segmentation,  in Proceedings the ACL, 2002.",
  year = "2002",
  url = "citeseer.ist.psu.edu/sassano02empirical.html" }
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