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    NAACL
    2004
    185views Computational Linguistics» more  NAACL 2004»
    Detecting Structural Metadata with Decision Trees and Transformation-Based Learning
    13 years 7 months ago
    Detecting Structural Metadata with Decision Trees and Transformation-Based Learning
    Download  acl.ldc.upenn.edu
    The regular occurrence of disfluencies is a distinguishing characteristic of spontaneous speech. Detecting and removing such disfluencies can substantially improve the usefulness ...
    Joungbum Kim, Sarah E. Schwarm, Mari Ostendorf
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    NAACL
    2004
    161views Computational Linguistics» more  NAACL 2004»
    Accurate Information Extraction from Research Papers using Conditional Random Fields
    13 years 7 months ago
    Accurate Information Extraction from Research Papers using Conditional Random Fields
    Download  www.cs.umass.edu
    With the increasing use of research paper search engines, such as CiteSeer, for both literature search and hiring decisions, the accuracy of such systems is of paramount importanc...
    Fuchun Peng, Andrew McCallum
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    NAACL
    2004
    155views Computational Linguistics» more  NAACL 2004»
    Evaluating Multiple Aspects of Coherence in Student Essays
    13 years 7 months ago
    Evaluating Multiple Aspects of Coherence in Student Essays
    Download  acl.ldc.upenn.edu
    CriterionSM Online Essay Evaluation Service includes a capability that labels sentences in student writing with essay-based discourse elements (e.g., thesis statements). We descri...
    Derrick Higgins, Jill Burstein, Daniel Marcu, Clau...
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    NAACL
    2004
    148views Computational Linguistics» more  NAACL 2004»
    Name Tagging with Word Clusters and Discriminative Training
    13 years 7 months ago
    Name Tagging with Word Clusters and Discriminative Training
    Download  www.aclweb.org
    We present a technique for augmenting annotated training data with hierarchical word clusters that are automatically derived from a large unannotated corpus. Cluster membership is...
    Scott Miller, Jethran Guinness, Alex Zamanian
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    NAACL
    2004
    146views Computational Linguistics» more  NAACL 2004»
    Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization
    13 years 7 months ago
    Catching the Drift: Probabilistic Content Models, with Applications to Generation and Summarization
    Download  acl.ldc.upenn.edu
    We consider the problem of modeling the content structure of texts within a specific domain, in terms of the topics the texts address and the order in which these topics appear. W...
    Regina Barzilay, Lillian Lee
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