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    NAACL
    2010
    123views Computational Linguistics» more  NAACL 2010»
    An MDL-based approach to extracting subword units for grapheme-to-phoneme conversion
    13 years 5 months ago
    An MDL-based approach to extracting subword units for grapheme-to-phoneme conversion
    Download  www.aclweb.org
    We address a key problem in grapheme-tophoneme conversion: the ambiguity in mapping grapheme units to phonemes. Rather than using single letters and phonemes as units, we propose ...
    Sravana Reddy, John A. Goldsmith
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    ACL
    2003
    105views Computational Linguistics» more  ACL 2003»
    Closing the Gap: Learning-Based Information Extraction Rivaling Knowledge-Engineering Methods
    13 years 9 months ago
    Closing the Gap: Learning-Based Information Extraction Rivaling Knowledge-Engineering Methods
    Download  www.comp.nus.edu.sg
    In this paper, we present a learning approach to the scenario template task of information extraction, where information filling one template could come from multiple sentences. ...
    Hai Leong Chieu, Hwee Tou Ng, Yoong Keok Lee
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    IJCAI
    2003
    120views Artificial Intelligence» more  IJCAI 2003»
    Information Extraction from Tree Documents by Learning Subtree Delimiters
    13 years 9 months ago
    Information Extraction from Tree Documents by Learning Subtree Delimiters
    Download  www.isi.edu
    Information extraction from HTML pages has been conventionally treated as plain text documents extended with HTML tags. However, the growing maturity and correct usage of HTML/XHT...
    Boris Chidlovskii
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    LREC
    2008
    110views Education» more  LREC 2008»
    Cost-Sensitive Learning in Answer Extraction
    13 years 9 months ago
    Cost-Sensitive Learning in Answer Extraction
    Download  www.lrec-conf.org
    One problem of data-driven answer extraction in open-domain factoid question answering is that the class distribution of labeled training data is fairly imbalanced. This imbalance...
    Michael Wiegand, Jochen L. Leidner, Dietrich Klako...
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    JMLR
    2010
    95views more  JMLR 2010»
    Feature Extraction for Machine Learning: Logic-Probabilistic Approach
    13 years 2 months ago
    Feature Extraction for Machine Learning: Logic-Probabilistic Approach
    Download  featureselection.asu.edu
    The paper analyzes peculiarities of preprocessing of learning data represented in object data bases constituted by multiple relational tables with ontology on top of it. Exactly s...
    Vladimir Gorodetsky, Vladimir Samoilov
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