Learning semantic representation with neural networks for community question answering retrieval

作者：

Highlights：

• Learning the semantic representation using neural network architecture.

• The neural network is trained via pre-training and fine-tuning phase.

• The learned semantic level feature is incorporated into a LTR framework.

摘要

•Learning the semantic representation using neural network architecture.•The neural network is trained via pre-training and fine-tuning phase.•The learned semantic level feature is incorporated into a LTR framework.

论文关键词：Community question answering,Question retrieval,Text mining,Yahoo! Answers

论文评审过程：Received 29 May 2015, Revised 2 November 2015, Accepted 3 November 2015, Available online 10 November 2015, Version of Record 21 December 2015.

论文官网地址：https://doi.org/10.1016/j.knosys.2015.11.002