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    » A Computational Model for Arguments Understanding
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    JACIII
    2006
    86views more  JACIII 2006»
    Computational Models of Language Within Context and Context-Sensitive Language Understanding
    14 years 9 months ago
    Computational Models of Language Within Context and Context-Sensitive Language Understanding
    Download  www.fujipress.jp
    Noriko Ito, Toru Sugimoto, Yusuke Takahashi, Shino...
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    AGI
    2008
    120views Artificial Intelligence» more  AGI 2008»
    A Cognitive Substrate for Natural Language Understanding
    14 years 11 months ago
    A Cognitive Substrate for Natural Language Understanding
    Download  www.agiri.org
    Our goal is to understand human language use and create systems that can use human language fluently. We argue that to a achieve this goal, we must formulate all of the problems fo...
    Nicholas L. Cassimatis, Arthi Murugesan, Magdalena...
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    COLING
    2002
    114views Computational Linguistics» more  COLING 2002»
    Probabilistic Models of Verb-Argument Structure
    14 years 9 months ago
    Probabilistic Models of Verb-Argument Structure
    Download  acl.ldc.upenn.edu
    We evaluate probabilistic models of verb argument structure trained on a corpus of verbs and their syntactic arguments. Models designed to represent patterns of verb alternation b...
    Daniel Gildea
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    KBSE
    2009
    IEEE
    61views Software Engineering» more  KBSE 2009»
    Understanding the Value of Software Engineering Technologies
    15 years 4 months ago
    Understanding the Value of Software Engineering Technologies
    Download  menzies.us
    SEESAW combines AI search tools, a Monte Carlo simulator, and some software process models. We show here that, when selecting technologies for a software project, SEESAW out-perfo...
    Phillip Green II, Tim Menzies, Steve Williams, Ous...
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    IJMSO
    2008
    135views more  IJMSO 2008»
    An argumentation framework based on confidence degrees to combine ontology mapping approaches
    14 years 9 months ago
    An argumentation framework based on confidence degrees to combine ontology mapping approaches
    Download  www.dit.unitn.it
    : Ontology mapping has a key importance for applications such as information retrieval, database integration, and agent-communication. This paper presents an Argumentation Framewor...
    Cássia Trojahn dos Santos, Paulo Quaresma, ...
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