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    EMNLP
    2007
    186views Natural Language Processing» more  EMNLP 2007»
    Extracting Aspect-Evaluation and Aspect-Of Relations in Opinion Mining
    13 years 9 months ago
    Extracting Aspect-Evaluation and Aspect-Of Relations in Opinion Mining
    Download  www.aclweb.org
    The technology of opinion extraction allows users to retrieve and analyze people’s opinions scattered over Web documents. We define an opinion unit as a quadruple consisting of...
    Nozomi Kobayashi, Kentaro Inui, Yuji Matsumoto
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    EMNLP
    2007
    107views Natural Language Processing» more  EMNLP 2007»
    Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources
    13 years 9 months ago
    Enhancing Single-Document Summarization by Combining RankNet and Third-Party Sources
    Download  acl.ldc.upenn.edu
    We present a new approach to automatic summarization based on neural nets, called NetSum. We extract a set of features from each sentence that helps identify its importance in the...
    Krysta Marie Svore, Lucy Vanderwende, Christopher ...
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    EMNLP
    2007
    133views Natural Language Processing» more  EMNLP 2007»
    Learning Structured Models for Phone Recognition
    13 years 9 months ago
    Learning Structured Models for Phone Recognition
    Download  www.petrovi.de
    We present a maximally streamlined approach to learning HMM-based acoustic models for automatic speech recognition. In our approach, an initial monophone HMM is iteratively refin...
    Slav Petrov, Adam Pauls, Dan Klein
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    EMNLP
    2007
    101views Natural Language Processing» more  EMNLP 2007»
    What Can Syntax-Based MT Learn from Phrase-Based MT?
    13 years 9 months ago
    What Can Syntax-Based MT Learn from Phrase-Based MT?
    Download  acl.ldc.upenn.edu
    We compare and contrast the strengths and weaknesses of a syntax-based machine translation model with a phrase-based machine translation model on several levels. We briefly descr...
    Steve DeNeefe, Kevin Knight, Wei Wang 0006, Daniel...
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    EMNLP
    2007
    148views Natural Language Processing» more  EMNLP 2007»
    Improving Word Sense Disambiguation Using Topic Features
    13 years 9 months ago
    Improving Word Sense Disambiguation Using Topic Features
    Download  acl.ldc.upenn.edu
    This paper presents a novel approach for exploiting the global context for the task of word sense disambiguation (WSD). This is done by using topic features constructed using the ...
    Junfu Cai, Wee Sun Lee, Yee Whye Teh
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