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    ACL
    2006
    126views Computational Linguistics» more  ACL 2006»
    Hybrid Parsing: Using Probabilistic Models as Predictors for a Symbolic Parser
    15 years 5 months ago
    Hybrid Parsing: Using Probabilistic Models as Predictors for a Symbolic Parser
    Download  nats-www.informatik.uni-hamburg.de
    In this paper we investigate the benefit of stochastic predictor components for the parsing quality which can be obtained with a rule-based dependency grammar. By including a chun...
    Kilian A. Foth, Wolfgang Menzel
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    117
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    ACL
    2006
    94views Computational Linguistics» more  ACL 2006»
    K-QARD: A Practical Korean Question Answering Framework for Restricted Domain
    15 years 5 months ago
    K-QARD: A Practical Korean Question Answering Framework for Restricted Domain
    Download  acl.ldc.upenn.edu
    We present a Korean question answering framework for restricted domains, called K-QARD. K-QARD is developed to achieve domain portability and robustness, and the framework is succ...
    Young-In Song, Hoo-Jung Chung, Kyoung-Soo Han, Joo...
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    96
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    EACL
    2006
    ACL Anthology
    109views Natural Language Processing» more  EACL 2006»
    Towards Robust Context-Sensitive Sentence Alignment for Monolingual Corpora
    15 years 5 months ago
    Towards Robust Context-Sensitive Sentence Alignment for Monolingual Corpora
    Download  acl.ldc.upenn.edu
    Rani Nelken, Stuart M. Shieber
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    87
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    EACL
    2006
    ACL Anthology
    131views Natural Language Processing» more  EACL 2006»
    Computational Complexity of Statistical Machine Translation
    15 years 5 months ago
    Computational Complexity of Statistical Machine Translation
    Download  acl.ldc.upenn.edu
    Raghavendra Udupa, Hemanta Kumar Maji
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    ACL
    2006
    146views Computational Linguistics» more  ACL 2006»
    A Logic-Based Semantic Approach to Recognizing Textual Entailment
    15 years 5 months ago
    A Logic-Based Semantic Approach to Recognizing Textual Entailment
    Download  www.hlt.utdallas.edu
    This paper proposes a knowledge representation model and a logic proving setting with axioms on demand successfully used for recognizing textual entailments. It also details a lex...
    Marta Tatu, Dan I. Moldovan
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