1.0Microsoft Researchhttps://www.microsoft.com/en-us/researchWei Wuhttps://www.microsoft.com/en-us/research/people/wuwei/Hierarchical Recurrent Attention Network for Response Generation - Microsoft Researchrich600338<blockquote class="wp-embedded-content" data-secret="UOhda4zz2k"><a href="https://www.microsoft.com/en-us/research/publication/hierarchical/">Hierarchical Recurrent Attention Network for Response Generation</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.microsoft.com/en-us/research/publication/hierarchical/embed/#?secret=UOhda4zz2k" width="600" height="338" title="“Hierarchical Recurrent Attention Network for Response Generation” — Microsoft Research" data-secret="UOhda4zz2k" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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We study multi-turn response generation in chatbots where a response is generated according to a conversation context. Existing work has modeled the hierarchy of the context, but does not pay enough attention to the fact that words and utterances in the context are differentially important. As a result, they may lose important information in context […]