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    SDM
    2004
    SIAM
    142views Data Mining» more  SDM 2004»
    Learning to Read Between the Lines: The Aspect Bernoulli Model
    13 years 6 months ago
    Learning to Read Between the Lines: The Aspect Bernoulli Model
    Download  www.cis.hut.fi
    We present a novel probabilistic multiple cause model for binary observations. In contrast to other approaches, the model is linear and it infers reasons behind both observed and ...
    Ata Kabán, Ella Bingham, T. Hirsimäki
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    ACL
    2012
    230views Computational Linguistics» more  ACL 2012»
    Learning to "Read Between the Lines" using Bayesian Logic Programs
    11 years 7 months 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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    ACL
    2010
    135views Computational Linguistics» more  ACL 2010»
    Reading between the Lines: Learning to Map High-Level Instructions to Commands
    13 years 3 months ago
    Reading between the Lines: Learning to Map High-Level Instructions to Commands
    Download  ai.cs.washington.edu
    In this paper, we address the task of mapping high-level instructions to sequences of commands in an external environment. Processing these instructions is challenging--they posit...
    S. R. K. Branavan, Luke S. Zettlemoyer, Regina Bar...
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    CSCW
    2004
    ACM
    104views Social Sciences» more  CSCW 2004»
    Instant messages: a framework for reading between the lines
    13 years 10 months ago
    Instant messages: a framework for reading between the lines
    Download  interruptions.net
    A framework is described for analyzing keystroke level data from instant messages (IM). This is unlike other analyses of IM which employ server-based logs of messages. This framew...
    Jeffrey D. Campbell
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    CVPR
    2007
    IEEE
    182views Computer Vision» more  CVPR 2007»
    Learning and Matching Line Aspects for Articulated Objects
    14 years 7 months ago
    Learning and Matching Line Aspects for Articulated Objects
    Download  ttic.uchicago.edu
    Traditional aspect graphs are topology-based and are impractical for articulated objects. In this work we learn a small number of aspects, or prototypical views, from video data. ...
    Xiaofeng Ren
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