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    » Machine Comprehension with Discourse Relations
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    ACL
    2004
    185views Computational Linguistics» more  ACL 2004»
    Applying Machine Learning to Chinese Temporal Relation Resolution
    13 years 7 months ago
    Applying Machine Learning to Chinese Temporal Relation Resolution
    Download  acl.ldc.upenn.edu
    Temporal relation resolution involves extraction of temporal information explicitly or implicitly embedded in a language. This information is often inferred from a variety of inte...
    Wenjie Li, Kam-Fai Wong, Guihong Cao, Chunfa Yuan
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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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    WWW
    2005
    ACM
    212views Internet Technology» more  WWW 2005»
    A comprehensive comparative study on term weighting schemes for text categorization with support vector machines
    14 years 6 months ago
    A comprehensive comparative study on term weighting schemes for text categorization with support vector machines
    Download  www.comp.nus.edu.sg
    Term weighting scheme, which has been used to convert the documents as vectors in the term space, is a vital step in automatic text categorization. In this paper, we conducted com...
    Man Lan, Chew Lim Tan, Hwee-Boon Low, Sam Yuan Sun...
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    NLE
    2008
    108views more  NLE 2008»
    Using automatically labelled examples to classify rhetorical relations: an assessment
    13 years 6 months ago
    Using automatically labelled examples to classify rhetorical relations: an assessment
    Download  homepages.inf.ed.ac.uk
    Being able to identify which rhetorical relations (e.g., contrast or explanation) hold between spans of text is important for many natural language processing applications. Using ...
    Caroline Sporleder, Alex Lascarides
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    FLAIRS
    2003
    98views Artificial Intelligence» more  FLAIRS 2003»
    Minimal Text Structuring to Improve the Generation of Feedback in Intelligent Tutoring Systems
    13 years 7 months ago
    Minimal Text Structuring to Improve the Generation of Feedback in Intelligent Tutoring Systems
    Download  www.cs.potsdam.edu
    The goal of our work is to improve the Natural Language feedback provided by Intelligent Tutoring Systems. In this paper, we discuss how to make the content presented by one such ...
    Susan M. Haller, Barbara Di Eugenio
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