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    RIAO
    2007
    163views Information Technology» more  RIAO 2007»
    Extracting Useful Information from the Full Text of Fiction
    14 years 11 months ago
    Extracting Useful Information from the Full Text of Fiction
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    In this paper, we describe some experiments in large-scale Information Extraction (IE) focusing on book texts. We investigate the scalability of IE techniques to full-sized books,...
    Sharon Givon, Maria Milosavljevic
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    NIPS
    2004
    141views Information Technology» more  NIPS 2004»
    Semi-Markov Conditional Random Fields for Information Extraction
    14 years 11 months ago
    Semi-Markov Conditional Random Fields for Information Extraction
    Download  www.cs.cmu.edu
    We describe semi-Markov conditional random fields (semi-CRFs), a conditionally trained version of semi-Markov chains. Intuitively, a semiCRF on an input sequence x outputs a "...
    Sunita Sarawagi, William W. Cohen
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    ANLP
    2000
    124views more  ANLP 2000»
    A Divide-and-Conquer Strategy for Shallow Parsing of German Free Texts
    14 years 11 months ago
    A Divide-and-Conquer Strategy for Shallow Parsing of German Free Texts
    Download  www.coli.uni-saarland.de
    We present a divide-and-conquer strategy based on finite state technology for shallow parsing of realworld German texts. In a first phase only the topological structure of a sente...
    Günter Neumann, Christian Braun, Jakub Piskor...
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    RIAO
    2000
    111views Information Technology» more  RIAO 2000»
    An Intelligent Text Extraction and Navigation System
    14 years 11 months ago
    An Intelligent Text Extraction and Navigation System
    Download  www.coli.uni-saarland.de
    We present sppc, a high-performance system for intelligent text extraction and navigation from German free text documents. sppc consists of a set of domainindependent shallow core...
    Jakub Piskorski, Günter Neumann
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    ACL
    2009
    103views Computational Linguistics» more  ACL 2009»
    Phrase Clustering for Discriminative Learning
    14 years 7 months ago
    Phrase Clustering for Discriminative Learning
    Download  aclweb.org
    We present a simple and scalable algorithm for clustering tens of millions of phrases and use the resulting clusters as features in discriminative classifiers. To demonstrate the ...
    Dekang Lin, Xiaoyun Wu
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