Evolutionary optimization for ranking how-to questions based on user-generated contents

作者：

Highlights：

• We propose an evolutionary optimization model for ranking how-to questions from the web.

• The approach combines evolutionary computation techniques and clustering methods.

• Experiments show promising results of evolutionary optimization to generate correct HOW-TO answers.

摘要

•We propose an evolutionary optimization model for ranking how-to questions from the web.•The approach combines evolutionary computation techniques and clustering methods.•Experiments show promising results of evolutionary optimization to generate correct HOW-TO answers.

论文关键词：Community question-answering,Question-answering systems,Concept clustering,Evolutionary computation,HPSG parsing

论文评审过程：Available online 4 July 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.06.017