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    133
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    EMNLP
    2009
    208views Natural Language Processing» more  EMNLP 2009»
    A Rich Feature Vector for Protein-Protein Interaction Extraction from Multiple Corpora
    14 years 10 months ago
    A Rich Feature Vector for Protein-Protein Interaction Extraction from Multiple Corpora
    Download  www.aclweb.org
    Because of the importance of proteinprotein interaction (PPI) extraction from text, many corpora have been proposed with slightly differing definitions of proteins and PPI. Since ...
    Makoto Miwa, Rune Sætre, Yusuke Miyao, Jun-i...
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    120
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    EMNLP
    2009
    207views Natural Language Processing» more  EMNLP 2009»
    Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora
    14 years 10 months ago
    Labeled LDA: A supervised topic model for credit attribution in multi-labeled corpora
    Download  www.stanford.edu
    A significant portion of the world's text is tagged by readers on social bookmarking websites. Credit attribution is an inherent problem in these corpora because most pages h...
    Daniel Ramage, David Hall, Ramesh Nallapati, Chris...
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    135
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    EMNLP
    2009
    202views Natural Language Processing» more  EMNLP 2009»
    Cross-lingual Semantic Relatedness Using Encyclopedic Knowledge
    14 years 10 months ago
    Cross-lingual Semantic Relatedness Using Encyclopedic Knowledge
    Download  www.aclweb.org
    In this paper, we address the task of crosslingual semantic relatedness. We introduce a method that relies on the information extracted from Wikipedia, by exploiting the interlang...
    Samer Hassan, Rada Mihalcea
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    104
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    EMNLP
    2009
    183views Natural Language Processing» more  EMNLP 2009»
    A Joint Language Model With Fine-grain Syntactic Tags
    14 years 10 months ago
    A Joint Language Model With Fine-grain Syntactic Tags
    Download  www.aclweb.org
    We present a scalable joint language model designed to utilize fine-grain syntactic tags. We discuss challenges such a design faces and describe our solutions that scale well to l...
    Denis Filimonov, Mary P. Harper
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    EMNLP
    2009
    180views Natural Language Processing» more  EMNLP 2009»
    Integrating sentence- and word-level error identification for disfluency correction
    14 years 10 months ago
    Integrating sentence- and word-level error identification for disfluency correction
    Download  www.aclweb.org
    While speaking spontaneously, speakers often make errors such as self-correction or false starts which interfere with the successful application of natural language processing tec...
    Erin Fitzgerald, Frederick Jelinek, Keith Hall
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