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    SIGDIAL
    2011
    177views Education» more  SIGDIAL 2011»
    A Comparison of Latent Variable Models For Conversation Analysis
    12 years 7 months ago
    A Comparison of Latent Variable Models For Conversation Analysis
    Download  www.aclweb.org
    Sourish Chaudhuri, Bhiksha Raj
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    ESANN
    2006
    164views Neural Networks» more  ESANN 2006»
    A Gaussian process latent variable model formulation of canonical correlation analysis
    13 years 6 months ago
    A Gaussian process latent variable model formulation of canonical correlation analysis
    Download  www.dice.ucl.ac.be
    Abstract. We investigate a nonparametric model with which to visualize the relationship between two datasets. We base our model on Gaussian Process Latent Variable Models (GPLVM)[1...
    Gayle Leen, Colin Fyfe
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    EMNLP
    2011
    165views Natural Language Processing» more  EMNLP 2011»
    Bootstrapping Semantic Parsers from Conversations
    12 years 4 months ago
    Bootstrapping Semantic Parsers from Conversations
    Download  yoavartzi.com
    Conversations provide rich opportunities for interactive, continuous learning. When something goes wrong, a system can ask for clarification, rewording, or otherwise redirect the...
    Yoav Artzi, Luke S. Zettlemoyer
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    ACL
    2012
    205views Computational Linguistics» more  ACL 2012»
    Historical Analysis of Legal Opinions with a Sparse Mixed-Effects Latent Variable Model
    11 years 7 months ago
    Historical Analysis of Legal Opinions with a Sparse Mixed-Effects Latent Variable Model
    Download  aclweb.org
    We propose a latent variable model to enhance historical analysis of large corpora. This work extends prior work in topic modelling by incorporating metadata, and the interactions...
    William Yang Wang, Elijah Mayfield, Suresh Naidu, ...
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    ACL
    2011
    181views Computational Linguistics» more  ACL 2011»
    Semi-supervised latent variable models for sentence-level sentiment analysis
    12 years 8 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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