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Extractive speech summarization

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  • In this paper, we formulate extractive summarization as a risk minimization problem and propose a unified probabilistic framework that naturally combines supervised and unsupervised summarization models to inherit their individual merits as well as to overcome their inherent limitations. In addition, the introduction of various loss functions also provides the summarization framework with a flexible but systematic way to render the redundancy and coherence relationships among sentences and between sentences and the whole document, respectively. ...

    pdf9p hongdo_1 12-04-2013 34 1   Download

  • We have witnessed signi cant progress in NLP applications such as information extraction IE, summarization, machine translation, cross-lingual information retrieval CLIR, etc. The progress will be accelerated by advances in speech technology, which not only enables us to interact with systems via speech but also to store and retrieve texts input via speech.

    pdf8p bunrieu_1 18-04-2013 23 1   Download

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