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    » A Preference Model for Structured Supervised Learning Tasks
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    ACL
    2007
    189views Computational Linguistics» more  ACL 2007»
    Guiding Semi-Supervision with Constraint-Driven Learning
    13 years 7 months ago
    Guiding Semi-Supervision with Constraint-Driven Learning
    Download  flake.cs.uiuc.edu
    Over the last few years, two of the main research directions in machine learning of natural language processing have been the study of semi-supervised learning algorithms as a way...
    Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth
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    EMNLP
    2006
    190views Natural Language Processing» more  EMNLP 2006»
    Competitive generative models with structure learning for NLP classification tasks
    13 years 6 months ago
    Competitive generative models with structure learning for NLP classification tasks
    Download  nlp.stanford.edu
    In this paper we show that generative models are competitive with and sometimes superior to discriminative models, when both kinds of models are allowed to learn structures that a...
    Kristina Toutanova
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    EMNLP
    2009
    130views Natural Language Processing» more  EMNLP 2009»
    Supervised Learning of a Probabilistic Lexicon of Verb Semantic Classes
    13 years 3 months ago
    Supervised Learning of a Probabilistic Lexicon of Verb Semantic Classes
    Download  www.aclweb.org
    The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
    Yusuke Miyao, Jun-ichi Tsujii
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    FSS
    2008
    110views more  FSS 2008»
    Learning valued preference structures for solving classification problems
    13 years 5 months ago
    Learning valued preference structures for solving classification problems
    Download  www.mathematik.uni-marburg.de
    This paper introduces a new approach to classification which combines pairwise decomposition techniques with ideas and tools from fuzzy preference modeling. More specifically, our...
    Eyke Hüllermeier, Klaus Brinker
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    ACL
    2011
    181views Computational Linguistics» more  ACL 2011»
    Semi-supervised latent variable models for sentence-level sentiment analysis
    12 years 9 months ago
    Semi-supervised latent variable models for sentence-level sentiment analysis
    Download  ryanmcd.com
    We derive two variants of a semi-supervised model for fine-grained sentiment analysis. Both models leverage abundant natural supervision in the form of review ratings, as well as...
    Oscar Täckström, Ryan T. McDonald
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