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    EMNLP
    2008
    142views Natural Language Processing» more  EMNLP 2008»
    Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
    13 years 10 months ago
    Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
    Download  www.cs.jhu.edu
    A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
    Omar Zaidan, Jason Eisner
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    ACL
    2008
    213views Computational Linguistics» more  ACL 2008»
    Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields
    13 years 10 months ago
    Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields
    Download  www.cs.umass.edu
    This paper presents a semi-supervised training method for linear-chain conditional random fields that makes use of labeled features rather than labeled instances. This is accompli...
    Gideon S. Mann, Andrew McCallum
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    ICML
    2007
    IEEE
    180views Machine Learning» more  ICML 2007»
    Bayesian actor-critic algorithms
    14 years 9 months ago
    Bayesian actor-critic algorithms
    Download  www.machinelearning.org
    We1 present a new actor-critic learning model in which a Bayesian class of non-parametric critics, using Gaussian process temporal difference learning is used. Such critics model ...
    Mohammad Ghavamzadeh, Yaakov Engel
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    WSC
    2007
    166views Modeling And Simulation» more  WSC 2007»
    Optimizing time warp simulation with reinforcement learning techniques
    13 years 11 months ago
    Optimizing time warp simulation with reinforcement learning techniques
    Download  www.informs-sim.org
    Adaptive Time Warp protocols in the literature are usually based on a pre-defined analytic model of the system, expressed as a closed form function that maps system state to cont...
    Jun Wang, Carl Tropper
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    EMNLP
    2008
    89views Natural Language Processing» more  EMNLP 2008»
    Unsupervised Multilingual Learning for POS Tagging
    13 years 10 months ago
    Unsupervised Multilingual Learning for POS Tagging
    Download  people.csail.mit.edu
    We demonstrate the effectiveness of multilingual learning for unsupervised part-of-speech tagging. The key hypothesis of multilingual learning is that by combining cues from multi...
    Benjamin Snyder, Tahira Naseem, Jacob Eisenstein, ...
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