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    NAACL
    2010
    147views Computational Linguistics» more  NAACL 2010»
    Dependency Tree-based Sentiment Classification using CRFs with Hidden Variables
    14 years 8 months ago
    Dependency Tree-based Sentiment Classification using CRFs with Hidden Variables
    Download  www.aclweb.org
    In this paper, we present a dependency treebased method for sentiment classification of Japanese and English subjective sentences using conditional random fields with hidden varia...
    Tetsuji Nakagawa, Kentaro Inui, Sadao Kurohashi
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    NAACL
    2010
    137views Computational Linguistics» more  NAACL 2010»
    Joint Parsing and Alignment with Weakly Synchronized Grammars
    14 years 8 months ago
    Joint Parsing and Alignment with Weakly Synchronized Grammars
    Download  www.aclweb.org
    Syntactic machine translation systems extract rules from bilingual, word-aligned, syntactically parsed text, but current systems for parsing and word alignment are at best cascade...
    David Burkett, John Blitzer, Dan Klein
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    NAACL
    2010
    142views Computational Linguistics» more  NAACL 2010»
    Hitting the Right Paraphrases in Good Time
    14 years 8 months ago
    Hitting the Right Paraphrases in Good Time
    Download  alchemy.cs.washington.edu
    We present a random-walk-based approach to learning paraphrases from bilingual parallel corpora. The corpora are represented as a graph in which a node corresponds to a phrase, an...
    Stanley Kok, Chris Brockett
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    NAACL
    2010
    194views Computational Linguistics» more  NAACL 2010»
    The Best Lexical Metric for Phrase-Based Statistical MT System Optimization
    14 years 8 months ago
    The Best Lexical Metric for Phrase-Based Statistical MT System Optimization
    Download  www.aclweb.org
    Translation systems are generally trained to optimize BLEU, but many alternative metrics are available. We explore how optimizing toward various automatic evaluation metrics (BLEU...
    Daniel Cer, Christopher D. Manning, Daniel Jurafsk...
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    NAACL
    2010
    166views Computational Linguistics» more  NAACL 2010»
    From Baby Steps to Leapfrog: How "Less is More" in Unsupervised Dependency Parsing
    14 years 8 months ago
    From Baby Steps to Leapfrog: How "Less is More" in Unsupervised Dependency Parsing
    Download  www.stanford.edu
    We present three approaches for unsupervised grammar induction that are sensitive to data complexity and apply them to Klein and Manning's Dependency Model with Valence. The ...
    Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jura...
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