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    JCST
    2011
    70views more  JCST 2011»
    Learning Noun Phrase Anaphoricity in Coreference Resolution via Label Propagation
    15 years 1 months ago
    Learning Noun Phrase Anaphoricity in Coreference Resolution via Label Propagation
    Download  nlp.suda.edu.cn
    Guodong Zhou, Fang Kong
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    ACL
    2011
    146views Computational Linguistics» more  ACL 2011»
    Bootstrapping coreference resolution using word associations
    14 years 10 months ago
    Bootstrapping coreference resolution using word associations
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    Hamidreza Kobdani, Hinrich Schütze, Michael S...
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    SIGDIAL
    2011
    179views Education» more  SIGDIAL 2011»
    Improving Pronominal and Deictic Co-Reference Resolution with Multi-Modal Features
    14 years 9 months ago
    Improving Pronominal and Deictic Co-Reference Resolution with Multi-Modal Features
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    Lin Chen, Anruo Wang, Barbara Di Eugenio
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    SC
    2005
    ACM
    133views Applied Computing» more  SC 2005»
    Dynamic Data-Driven Inversion For Terascale Simulations: Real-Time Identification Of Airborne Contaminants
    16 years 11 days ago
    Dynamic Data-Driven Inversion For Terascale Simulations: Real-Time Identification Of Airborne Contaminants
    Download  www.seas.upenn.edu
    In contrast to traditional terascale simulations that have known, fixed data inputs, dynamic data-driven (DDD) applications are characterized by unknown data and informed by dynam...
    Volkan Akcelik, George Biros, Andrei Draganescu, J...
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    COLING
    2002
    99views Computational Linguistics» more  COLING 2002»
    A Probabilistic Method for Analyzing Japanese Anaphora Integrating Zero Pronoun Detection and Resolution
    15 years 6 months ago
    A Probabilistic Method for Analyzing Japanese Anaphora Integrating Zero Pronoun Detection and Resolution
    Download  acl.ldc.upenn.edu
    This paper proposes a method to analyze Japanese anaphora, in which zero pronouns (omitted obligatory cases) are used to refer to preceding entities (antecedents). Unlike the case...
    Kazuhiro Seki, Atsushi Fujii, Tetsuya Ishikawa
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