Genetic programming-based feature learning for question answering
作者：
Highlights：
• A new framework for answering definitional and factoid questions.
• Producing new features by combining effective features with arithmetic operators.
• Genetic Programming (GP) algorithm has been employed for feature learning.
• Three discriminant-based methods have been used for learning features weights.
摘要
•A new framework for answering definitional and factoid questions.•Producing new features by combining effective features with arithmetic operators.•Genetic Programming (GP) algorithm has been employed for feature learning.•Three discriminant-based methods have been used for learning features weights.
论文关键词：Question Answering (QA),Feature learning,Genetic Programming (GP) algorithm,Feature weight learning,Factoid questions,Information Extraction (IE)
论文评审过程：Received 18 June 2014, Revised 15 September 2015, Accepted 15 September 2015, Available online 10 November 2015, Version of Record 19 February 2016.
论文官网地址：https://doi.org/10.1016/j.ipm.2015.09.001
