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    » Unsupervised Discovery of Event Scenarios from Texts
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    FLAIRS
    2008
    82views Artificial Intelligence» more  FLAIRS 2008»
    Unsupervised Discovery of Event Scenarios from Texts
    13 years 6 months ago
    Unsupervised Discovery of Event Scenarios from Texts
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    Cosmin Adrian Bejan
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    ACL
    2003
    111views Computational Linguistics» more  ACL 2003»
    Counter-Training in Discovery of Semantic Patterns
    13 years 5 months ago
    Counter-Training in Discovery of Semantic Patterns
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    This paper presents a method for unsupervised discovery of semantic patterns. Semantic patterns are useful for a variety of text understanding tasks, in particular for locating ev...
    Roman Yangarber
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    ANLP
    2000
    114views more  ANLP 2000»
    Unsupervised Discovery of Scenario-Level Patterns for Information Extraction
    13 years 5 months ago
    Unsupervised Discovery of Scenario-Level Patterns for Information Extraction
    Download  www.ru.is
    Information Extraction (IE) systems are commonly based on pattern matching. Adapting an IE system to a new scenario entails the construction of a new pattern base--a timeconsuming...
    Roman Yangarber, Ralph Grishman, Pasi Tapanainen
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    ICIP
    2003
    IEEE
    194views Image Processing» more  ICIP 2003»
    Feature selection for unsupervised discovery of statistical temporal structures in video
    14 years 5 months ago
    Feature selection for unsupervised discovery of statistical temporal structures in video
    Download  www.ctr.columbia.edu
    We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...
    Lexing Xie, Shih-Fu Chang, Ajay Divakaran, Huifang...
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    EMNLP
    2011
    150views Natural Language Processing» more  EMNLP 2011»
    A generative model for unsupervised discovery of relations and argument classes from clinical texts
    12 years 4 months ago
    A generative model for unsupervised discovery of relations and argument classes from clinical texts
    Download  aclweb.org
    Bryan Rink, Sanda M. Harabagiu
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