Facet Annotation by Extending CNN with a Matching Strategy.

Neural Computation(2018)

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摘要
Most community question answering (CQA) websites manage plenty of question-answer pairs (QAPs) through topic-based organizations, which may not satisfy users' fine-grained search demands. Facets of topics serve as a powerful tool to navigate, refine, and group the QAPs. In this work, we propose FACM, a model to annotate QAPs with facets by extending convolution neural networks (CNNs) with a matchi...
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关键词
Knowledge domain, Natural Language Processing, Facet Annotation, Matching Strategy, Convolutional Neural Network
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