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The paper proposes and empirically moti- vates an integration of supervised learning with unsupervised learning to deal with human biases in summarization. In par- ticular, we explore the use of …...

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Recent TREC results have demonstrated the need for deeper text understanding methods. This paper introduces the idea of automated reasoning applied to question answering and shows the feasibility of integrating …...

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AbstractWord embedding is central to neural machine translation (NMT), which has attracted intensive research interest in recent years. In NMT, the source embedding plays the role of the entrance while …...

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