面向协作式问答的问题理解技术研究

问题理解是问答系统中的重要组成部分,尤其对于协作式问答。在协作式问答中用户对所提出的问题进行了详细的说明和描述。如何利用这些描述信息来提高系统的性能,是一个很重要的问题。该文提出了一种基于词典和句法分析的方法,来对用户的问题进行分析,从中提取出有价值的关键词,以提高包含候选答案网页的召回率。通过实验对比分析,该方法的MPP值和MAP值都有了较大的提高。

Research on Question Understanding for Cooperative Question Answering

Question understanding is an important part of Question Answering system,especially to the Cooperate Question Answering system in which questions provided by users are described in detail.This paper proposes an algorithm that combined dictionaries and paring to exploit these crucial questions narrations by extracting certain valuable Keywords .Experiments show that our approach substantially improves the MPP and MAP of question answering system.