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    NAACL
    2003
    81views Computational Linguistics» more  NAACL 2003»
    A Hybrid Approach to Content Analysis for Automatic Essay Grading
    13 years 11 months ago
    A Hybrid Approach to Content Analysis for Automatic Essay Grading
    Download  acl.ldc.upenn.edu
    We present CarmelTC, a novel hybrid text classification approach for automatic essay grading. Our evaluation demonstrates that the hybrid CarmelTC approach outperforms two “bag...
    Carolyn Penstein Rosé, Antonio Roque, Dumis...
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    NAACL
    2004
    131views Computational Linguistics» more  NAACL 2004»
    Answering Definition Questions Using Multiple Knowledge Sources
    13 years 11 months ago
    Answering Definition Questions Using Multiple Knowledge Sources
    Download  acl.ldc.upenn.edu
    Definition questions represent a largely unexplored area of question answering--they are different from factoid questions in that the goal is to return as many relevant "nugg...
    Wesley Hildebrandt, Boris Katz, Jimmy J. Lin
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    NAACL
    2003
    122views Computational Linguistics» more  NAACL 2003»
    A Spoken Dialogue Interface to a Geologist's Field Assistant
    13 years 11 months ago
    A Spoken Dialogue Interface to a Geologist's Field Assistant
    Download  acl.ldc.upenn.edu
    We will demonstrate a spoken dialogue interface to a Geologist’s Field Assistant that is being developed as part of NASA’s Mobile Agents project. The assistant consists of a r...
    John Dowding, James Hieronymus
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    NAACL
    2003
    84views Computational Linguistics» more  NAACL 2003»
    Greedy Decoding for Statistical Machine Translation in Almost Linear Time
    13 years 11 months ago
    Greedy Decoding for Statistical Machine Translation in Almost Linear Time
    Download  acl.ldc.upenn.edu
    We present improvements to a greedy decoding algorithm for statistical machine translation that reduce its time complexity from at least cubic (  ¢¡¤£¦¥¨§ when applied na...
    Ulrich Germann
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    NAACL
    2003
    178views Computational Linguistics» more  NAACL 2003»
    Sentence Level Discourse Parsing using Syntactic and Lexical Information
    13 years 11 months ago
    Sentence Level Discourse Parsing using Syntactic and Lexical Information
    Download  acl.ldc.upenn.edu
    We introduce two probabilistic models that can be used to identify elementary discourse units and build sentence-level discourse parse trees. The models use syntactic and lexical ...
    Radu Soricut, Daniel Marcu
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