Learning Distributed Representations of Data in Community Question Answering for Question Retrieval

Abstract

We study the problem of question retrieval in community question answering (CQA). The biggest challenge within this task is lexical gaps between questions since similar questions are usually expressed with different but semantically related words. To bridge the gaps, state-of-the-art methods incorporate extra information such as word-to-word translation and… (More)
DOI: 10.1145/2835776.2835786

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0204020162017
Citations per Year

Citation Velocity: 13

Averaging 13 citations per year over the last 2 years.

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