Quality-aware skill translation models for expert finding on StackOverflow

作者：

Highlights：

• Proposing two novel translation approaches based on statistical and semantic matching.

• Considering the quality of translations into account.

• Testing our framework on two real test collections.

• Providing deep analysis and observations on data.

摘要

•Proposing two novel translation approaches based on statistical and semantic matching.•Considering the quality of translations into account.•Testing our framework on two real test collections.•Providing deep analysis and observations on data.

论文关键词：Expertise retrieval,Statistical machine translation,Semantic matching,StackOverflow,Expert finding,Word embedding

论文评审过程：Received 26 August 2018, Revised 3 December 2018, Accepted 2 July 2019, Available online 11 July 2019, Version of Record 15 July 2019.

论文官网地址：https://doi.org/10.1016/j.is.2019.07.003