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    COLING
    1990
    71views Computational Linguistics» more  COLING 1990»
    Structured Meanings in Computational Linguistics
    13 years 11 months ago
    Structured Meanings in Computational Linguistics
    Download  acl.ldc.upenn.edu
    Kees van Deemter
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    COLING
    2010
    137views Computational Linguistics» more  COLING 2010»
    A Structured Vector Space Model for Hidden Attribute Meaning in Adjective-Noun Phrases
    13 years 4 months ago
    A Structured Vector Space Model for Hidden Attribute Meaning in Adjective-Noun Phrases
    Download  aclweb.org
    We present an approach to model hidden attributes in the compositional semantics of adjective-noun phrases in a distributional model. For the representation of adjective meanings,...
    Matthias Hartung, Anette Frank
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    ACL
    2010
    166views Computational Linguistics» more  ACL 2010»
    "Was It Good? It Was Provocative." Learning the Meaning of Scalar Adjectives
    13 years 7 months ago
    "Was It Good? It Was Provocative." Learning the Meaning of Scalar Adjectives
    Download  nlp.stanford.edu
    Marie-Catherine de Marneffe, Christopher D. Mannin...
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    FLAIRS
    2009
    130views Artificial Intelligence» more  FLAIRS 2009»
    Organizing Knowledge as an Ontology of the Domain of Resilient Computing by Means of Natural Language Processing - An Experience
    13 years 7 months ago
    Organizing Knowledge as an Ontology of the Domain of Resilient Computing by Means of Natural Language Processing - An Experience
    Download  www.uni-ulm.de
    Scientists typically need to take a large volume of information into account in order to deal with re-occurring tasks such as inspecting proceedings, finding related work, or revi...
    Algirdas Avizienis, Gintare Grigonyte, Johann Hall...
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    ACL
    1996
    133views Computational Linguistics» more  ACL 1996»
    Linguistic Structure as Composition and Perturbation
    13 years 11 months ago
    Linguistic Structure as Composition and Perturbation
    Download  www.demarcken.org
    This paper discusses the problem of learning language from unprocessed text and speech signals, concentrating on the problem of learning a lexicon. In particular, it argues for a ...
    Carl de Marcken
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