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    EMNLP
    2009
    179views Natural Language Processing» more  EMNLP 2009»
    Cross-Cultural Analysis of Blogs and Forums with Mixed-Collection Topic Models
    14 years 8 months ago
    Cross-Cultural Analysis of Blogs and Forums with Mixed-Collection Topic Models
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    This paper presents preliminary results on the detection of cultural differences from people's experiences in various countries from two perspectives: tourists and locals. Ou...
    Michael Paul, Roxana Girju
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    EMNLP
    2009
    137views Natural Language Processing» more  EMNLP 2009»
    Construction of a Blog Emotion Corpus for Chinese Emotional Expression Analysis
    14 years 8 months ago
    Construction of a Blog Emotion Corpus for Chinese Emotional Expression Analysis
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    There is plenty of evidence that emotion analysis has many valuable applications. In this study a blog emotion corpus is constructed for Chinese emotional expression analysis. Thi...
    Changqin Quan, Fuji Ren
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    EMNLP
    2009
    136views Natural Language Processing» more  EMNLP 2009»
    Reverse Engineering of Tree Kernel Feature Spaces
    14 years 8 months ago
    Reverse Engineering of Tree Kernel Feature Spaces
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    We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
    Daniele Pighin, Alessandro Moschitti
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    EMNLP
    2009
    169views Natural Language Processing» more  EMNLP 2009»
    Adapting a Polarity Lexicon using Integer Linear Programming for Domain-Specific Sentiment Classification
    14 years 8 months ago
    Adapting a Polarity Lexicon using Integer Linear Programming for Domain-Specific Sentiment Classification
    Download  www.cs.cornell.edu
    Polarity lexicons have been a valuable resource for sentiment analysis and opinion mining. There are a number of such lexical resources available, but it is often suboptimal to us...
    Yejin Choi, Claire Cardie
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    EMNLP
    2009
    96views Natural Language Processing» more  EMNLP 2009»
    Less is More: Significance-Based N-gram Selection for Smaller, Better Language Models
    14 years 8 months ago
    Less is More: Significance-Based N-gram Selection for Smaller, Better Language Models
    Download  www.aclweb.org
    The recent availability of large corpora for training N-gram language models has shown the utility of models of higher order than just trigrams. In this paper, we investigate meth...
    Robert C. Moore, Chris Quirk
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