Context-Aware Answer Sentence Selection With Hierarchical Gated Recurrent Neural Networks.
IEEE/ACM Transactions on Audio, Speech, and Language Processing(2018)
摘要
In this paper, we study the task of reading comprehension style answer sentence selection that aims to select the best sentence from a given passage to answer a question. Unlike most previous works that match the question and each candidate sentence separately, we observe that the context information among sentences in the same passage plays a vital role in this task. We propose modeling context i...
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关键词
Context modeling,Recurrent neural networks,Logic gates,Semantics,Analytical models
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