Machine Learning, Volume 60, 2005 (original) (raw)

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Volume 60, Number 1-3, September 2005

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    Pascale Fung, Dan Roth:
    Guest Editors Introduction: Machine Learning in Speech and Language Technologies. 5-9
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    Sameer S. Pradhan, Kadri Hacioglu, Valerie Krugler, Wayne H. Ward, James H. Martin, Daniel Jurafsky:
    Support Vector Learning for Semantic Argument Classification. 11-39
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    Xavier Carreras, Lluís Màrquez, C. Jorge Castro:
    Filtering-Ranking Perceptron Learning for Partial Parsing. 41-71
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    Libin Shen, Aravind K. Joshi:
    Ranking and Reranking with Perceptron. 73-96
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    Hiyan Alshawi:
    Online Multiclass Learning with _k_-Way Limited Feedback and an Application to Utterance Classification. 97-115
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    Corinna Cortes, Mehryar Mohri:
    Moment Kernels for Regular Distributions. 117-134
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    Ismael García-Varea, Francisco Casacuberta:
    Maximum Entropy Modeling: A Suitable Framework to Learn Context-Dependent Lexicon Models for Statistical Machine Translation. 135-158
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    Jun'ichi Kazama, Jun'ichi Tsujii:
    Maximum Entropy Models with Inequality Constraints: A Case Study on Text Categorization. 159-194
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    Ahmad Emami, Frederick Jelinek:
    A Neural Syntactic Language Model. 195-227
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    Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao:
    Combining Statistical Language Models via the Latent Maximum Entropy Principle. 229-250
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    Peter D. Turney, Michael L. Littman:
    Corpus-based Learning of Analogies and Semantic Relations. 251-278

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