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    ACL
    2006
    136views Computational Linguistics» more  ACL 2006»
    Japanese Dependency Parsing Using Co-Occurrence Information and a Combination of Case Elements
    13 years 10 months ago
    Japanese Dependency Parsing Using Co-Occurrence Information and a Combination of Case Elements
    Download  acl.ldc.upenn.edu
    In this paper, we present a method that improves Japanese dependency parsing by using large-scale statistical information. It takes into account two kinds of information not consi...
    Takeshi Abekawa, Manabu Okumura
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    DLOG
    2004
    123views Automated Reasoning» more  DLOG 2004»
    Using Non-Primitive Concept Definitions for Improving DL-based Knowledge Bases
    13 years 10 months ago
    Using Non-Primitive Concept Definitions for Improving DL-based Knowledge Bases
    Download  sunsite.informatik.rwth-aachen.de
    Medical Terminological Knowledge Bases contain a large number of primitive concept definitions. This is due to the large number of natural kinds that are represented, and due to t...
    Ronald Cornet, Ameen Abu-Hanna
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    DBSEC
    2006
    122views Database» more  DBSEC 2006»
    Term Rewriting for Access Control
    13 years 10 months ago
    Term Rewriting for Access Control
    Download  www.dcs.kcl.ac.uk
    We demonstrate how access control models and policies can be represented by using term rewriting systems, and how rewriting may be used for evaluating access requests and for provi...
    Steve Barker, Maribel Fernández
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    EMNLP
    2006
    190views Natural Language Processing» more  EMNLP 2006»
    Competitive generative models with structure learning for NLP classification tasks
    13 years 10 months ago
    Competitive generative models with structure learning for NLP classification tasks
    Download  nlp.stanford.edu
    In this paper we show that generative models are competitive with and sometimes superior to discriminative models, when both kinds of models are allowed to learn structures that a...
    Kristina Toutanova
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    EMNLP
    2006
    220views Natural Language Processing» more  EMNLP 2006»
    Graph-based Word Clustering using a Web Search Engine
    13 years 10 months ago
    Graph-based Word Clustering using a Web Search Engine
    Download  acl.ldc.upenn.edu
    Word clustering is important for automatic thesaurus construction, text classification, and word sense disambiguation. Recently, several studies have reported using the web as a c...
    Yutaka Matsuo, Takeshi Sakaki, Koki Uchiyama, Mits...
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