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    ACL
    2012
    230views Computational Linguistics» more  ACL 2012»
    Learning to "Read Between the Lines" using Bayesian Logic Programs
    13 years 7 days ago
    Learning to "Read Between the Lines" using Bayesian Logic Programs
    Download  aclweb.org
    Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires â€...
    Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
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    EMNLP
    2010
    141views Natural Language Processing» more  EMNLP 2010»
    An Efficient Algorithm for Unsupervised Word Segmentation with Branching Entropy and MDL
    14 years 7 months ago
    An Efficient Algorithm for Unsupervised Word Segmentation with Branching Entropy and MDL
    Download  www.aclweb.org
    This paper proposes a fast and simple unsupervised word segmentation algorithm that utilizes the local predictability of adjacent character sequences, while searching for a leaste...
    Valentin Zhikov, Hiroya Takamura, Manabu Okumura
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    EMNLP
    2009
    94views Natural Language Processing» more  EMNLP 2009»
    A Simple Unsupervised Learner for POS Disambiguation Rules Given Only a Minimal Lexicon
    14 years 7 months ago
    A Simple Unsupervised Learner for POS Disambiguation Rules Given Only a Minimal Lexicon
    Download  www.aclweb.org
    We propose a new model for unsupervised POS tagging based on linguistic distinctions between open and closed-class items. Exploiting notions from current linguistic theory, the sy...
    Qiuye Zhao, Mitch Marcus
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    MODELS
    2007
    Springer
    141views Natural Language Processing» more  MODELS 2007»
    Using Domain-Specific Modeling to Generate User Interfaces for Wizards
    15 years 4 months ago
    Using Domain-Specific Modeling to Generate User Interfaces for Wizards
    Download  sunsite.informatik.rwth-aachen.de
    The rising adoption and incorporation of computers into everyday life requires human-computer interaction methods to be efficient and easy to understand. Simultaneously, complexit...
    Enis Afgan, Jeffrey G. Gray, Purushotham Bangalore
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    EMNLP
    2009
    123views Natural Language Processing» more  EMNLP 2009»
    First- and Second-Order Expectation Semirings with Applications to Minimum-Risk Training on Translation Forests
    14 years 7 months ago
    First- and Second-Order Expectation Semirings with Applications to Minimum-Risk Training on Translation Forests
    Download  cs.jhu.edu
    Many statistical translation models can be regarded as weighted logical deduction. Under this paradigm, we use weights from the expectation semiring (Eisner, 2002), to compute fir...
    Zhifei Li, Jason Eisner
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