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    COLING
    1996
    109views Computational Linguistics» more  COLING 1996»
    MULTITALE: linking medical concepts by means of frames
    14 years 11 months ago
    MULTITALE: linking medical concepts by means of frames
    Download  acl.ldc.upenn.edu
    In this paper MULTITALE, a system for the semantic tagging of medical neurosurgical texts and for the semi-automatic expansion of the medical lexicon, will be presented. Given the...
    Isa Maks, Willy Martin
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    MUC
    1992
    121views Natural Language Processing» more  MUC 1992»
    GE NLToolset: description of the system as used for MUC-4
    15 years 1 months ago
    GE NLToolset: description of the system as used for MUC-4
    Download  www.aclweb.org
    The GE NLTooLsET is a set of text interpretation tools designed to be easily adapted to new domains. This report summarizes the system and its performance on the MUG-4 task . INTR...
    George B. Krupka, Paul S. Jacobs, Lisa F. Rau, Loi...
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    AAAI
    1998
    136views Intelligent Agents» more  AAAI 1998»
    Towards Text Knowledge Engineering
    14 years 11 months ago
    Towards Text Knowledge Engineering
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    We introduce a methodology for automating the maintenance of domain-specific taxonomies based on natural language text understanding. A given ontology is incrementally updated as ...
    Udo Hahn, Klemens Schnattinger
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    ACL
    1998
    97views Computational Linguistics» more  ACL 1998»
    A Text Understander that Learns
    14 years 11 months ago
    A Text Understander that Learns
    Download  www.aclweb.org
    We introduce an approach to the automatic acquisition of new concepts fi'om natural language texts which is tightly integrated with the underlying text understanding process....
    Udo Hahn, Klemens Schnattinger
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    IR
    2002
    128views Natural Language Processing» more  IR 2002»
    Hierarchical Text Categorization Using Neural Networks
    14 years 9 months ago
    Hierarchical Text Categorization Using Neural Networks
    Download  mingo.info-science.uiowa.edu
    This paper presents the design and evaluation of a text categorization method based on the Hierarchical Mixture of Experts model. This model uses a divide and conquer principle to ...
    Miguel E. Ruiz, Padmini Srinivasan
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