Semi-supervised question retrieval with gated convolutions

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 pie...

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Bibliographic Details
Main Authors: Lei, Tao, Joshi, Hrishikesh S., Barzilay, Regina, Jaakkola, Tommi S.
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: North American Chapter of the Association for Computational Linguistics 2017
Online Access:http://hdl.handle.net/1721.1/110736
https://orcid.org/0000-0003-4644-3088
https://orcid.org/0000-0002-5317-1327
https://orcid.org/0000-0002-2921-8201
https://orcid.org/0000-0002-2199-0379