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    IJCNLP
    2005
    Springer
    137views Natural Language Processing» more  IJCNLP 2005»
    A Machine Learning Approach to Sentence Ordering for Multidocument Summarization and Its Evaluation
    14 years 1 months ago
    A Machine Learning Approach to Sentence Ordering for Multidocument Summarization and Its Evaluation
    Download  www.miv.t.u-tokyo.ac.jp
    Ordering information is a difficult but a important task for natural language generation applications. A wrong order of information not only makes it difficult to understand, but a...
    Danushka Bollegala, Naoaki Okazaki, Mitsuru Ishizu...
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    ACL
    2012
    219views Computational Linguistics» more  ACL 2012»
    Combining Coherence Models and Machine Translation Evaluation Metrics for Summarization Evaluation
    11 years 10 months ago
    Combining Coherence Models and Machine Translation Evaluation Metrics for Summarization Evaluation
    Download  www.comp.nus.edu.sg
    An ideal summarization system should produce summaries that have high content coverage and linguistic quality. Many state-ofthe-art summarization systems focus on content coverage...
    Ziheng Lin, Chang Liu, Hwee Tou Ng, Min-Yen Kan
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    ECTEL
    2007
    Springer
    129views Machine Learning» more  ECTEL 2007»
    Adaptive Learning Spaces. A Project Description
    14 years 2 months ago
    Adaptive Learning Spaces. A Project Description
    Download  sunsite.informatik.rwth-aachen.de
    Stephan Weibelzahl
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    ML
    2002
    ACM
    106views Machine Learning» more  ML 2002»
    Statistical Properties and Adaptive Tuning of Support Vector Machines
    13 years 8 months ago
    Statistical Properties and Adaptive Tuning of Support Vector Machines
    Download  www4.stat.ncsu.edu
    Yi Lin, Grace Wahba, Hao Zhang, Yoonkyung Lee
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    ICML
    1996
    IEEE
    126views Machine Learning» more  ICML 1996»
    On-Line Adaptation of a Signal Predistorter through Dual Reinforcement Learning
    14 years 9 months ago
    On-Line Adaptation of a Signal Predistorter through Dual Reinforcement Learning
    Download  www.cs.utexas.edu
    Patrick Goetz, Shailesh Kumar, Risto Miikkulainen
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