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    NAACL
    2007
    133views Computational Linguistics» more  NAACL 2007»
    Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation
    13 years 8 months ago
    Source-Language Features and Maximum Correlation Training for Machine Translation Evaluation
    Download  www.cs.rochester.edu
    We propose three new features for MT evaluation: source-sentence constrained n-gram precision, source-sentence reordering metrics, and discriminative unigram precision, as well as...
    Ding Liu, Daniel Gildea
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    EMNLP
    2004
    88views Natural Language Processing» more  EMNLP 2004»
    Learning Hebrew Roots: Machine Learning with Linguistic Constraints
    13 years 8 months ago
    Learning Hebrew Roots: Machine Learning with Linguistic Constraints
    Download  l2r.cs.uiuc.edu
    The morphology of Semitic languages is unique in the sense that the major word-formation mechanism is an inherently non-concatenative process of interdigitation, whereby two morph...
    Ezra Daya, Dan Roth, Shuly Wintner
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    AAAI
    2012
    277views Intelligent Agents» more  AAAI 2012»
    Relative Attributes for Enhanced Human-Machine Communication
    11 years 9 months ago
    Relative Attributes for Enhanced Human-Machine Communication
    Download  ttic.uchicago.edu
    We propose to model relative attributes1 that capture the relationships between images and objects in terms of human-nameable visual properties. For example, the models can captur...
    Devi Parikh, Adriana Kovashka, Amar Parkash, Krist...
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    EAMT
    1993
    122views Internet Technology» more  EAMT 1993»
    Memory-Based Lexical Acquisition and Processing
    13 years 11 months ago
    Memory-Based Lexical Acquisition and Processing
    Download  www-gth.die.upm.es
    Daelemans W. Abstraction Considered Harmful: Lazy Learning of Language Processing. Proceedings of the 6th 5th Belgian-Dutch Conference on Machine Learning 1996; 3-12.
    Walter Daelemans
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    AAAI
    2010
    145views Intelligent Agents» more  AAAI 2010»
    Generalized Task Markets for Human and Machine Computation
    13 years 8 months ago
    Generalized Task Markets for Human and Machine Computation
    Download  research.microsoft.com
    We discuss challenges and opportunities for developing generalized task markets where human and machine intelligence are enlisted to solve problems, based on a consideration of th...
    Dafna Shahaf, Eric Horvitz
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