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    ACL
    2008
    152views Computational Linguistics» more  ACL 2008»
    Learning Semantic Links from a Corpus of Parallel Temporal and Causal Relations
    14 years 11 months ago
    Learning Semantic Links from a Corpus of Parallel Temporal and Causal Relations
    Download  aclweb.org
    Finding temporal and causal relations is crucial to understanding the semantic structure of a text. Since existing corpora provide no parallel temporal and causal annotations, we ...
    Steven Bethard, James H. Martin
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    DAGM
    2008
    Springer
    149views Image Processing» more  DAGM 2008»
    Learning Visual Compound Models from Parallel Image-Text Datasets
    14 years 11 months ago
    Learning Visual Compound Models from Parallel Image-Text Datasets
    Download  www.cs.toronto.edu
    Abstract. In this paper, we propose a new approach to learn structured visual compound models from shape-based feature descriptions. We use captioned text in order to drive the pro...
    Jan Moringen, Sven Wachsmuth, Sven J. Dickinson, S...
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    CLUSTER
    2008
    IEEE
    95views Distributed And Parallel Com...» more  CLUSTER 2008»
    Reinforcement learning for automated performance tuning: Initial evaluation for sparse matrix format selection
    15 years 4 months ago
    Reinforcement learning for automated performance tuning: Initial evaluation for sparse matrix format selection
    Download  iwapt.org
    Warren Armstrong, Alistair P. Rendell
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    CCGRID
    2006
    IEEE
    118views Distributed And Parallel Com...» more  CCGRID 2006»
    The Stakkato Intrusions: What Happened and What Have We Learned?
    15 years 3 months ago
    The Stakkato Intrusions: What Happened and What Have We Learned?
    Download  www.nsc.liu.se
    Leif Nixon
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    AMTA
    2000
    Springer
    81views Information Technology» more  AMTA 2000»
    A Self-Learning Method of Parallel Texts Alignment
    15 years 2 months ago
    A Self-Learning Method of Parallel Texts Alignment
    Download  www.dialog-21.ru
    António Ribeiro, José Gabriel Pereir...
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