Semi-supervised Question Retrieval with Gated Convolutions

HLT-NAACL, pp. 1279-1289, 2016.

Cited by: 64|Bibtex|Views45|DOI:https://doi.org/10.18653/v1/N16-1153
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

Question answering forums are rapidly growing in size with no effective automated ability to refer to and reuse answers already available for previous posted questions. In this paper, we develop a methodology for finding semantically related questions. The task is difficult since 1) key pieces of information are often buried in extraneous...More

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