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    COLING
    1990
    71views Computational Linguistics» more  COLING 1990»
    Structured Meanings in Computational Linguistics
    13 years 5 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
    12 years 11 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 2 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 2 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 5 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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