Joint modeling of users, questions and answers for answer selection in CQA

作者：

Highlights：

• A hybrid attention mechanism for texts matching.

• expert user modeling to boost text matching accuracy.

• combine hybrid attentive texts matching and expert user modeling into a unified model.

摘要

•A hybrid attention mechanism for texts matching.•expert user modeling to boost text matching accuracy.•combine hybrid attentive texts matching and expert user modeling into a unified model.

论文关键词：Answer selection,User modelling,Attentive neural network

论文评审过程：Received 18 January 2018, Revised 13 July 2018, Accepted 17 October 2018, Available online 18 October 2018, Version of Record 24 October 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.10.038