华东师范大学学报（自然科学版）Issue(5)：66-79,14.DOI:10.3969/j.issn.1000-5641.2017.05.007
基于卷积神经网络的自动问答
The auto-question answering system based on convolution neural network
摘要
Abstract
The question-answering is a hot research field in natural language processing,which can give users concise and precise answer to the question presented in natural language and provide the users with more accurate information service.There are two key questions to be solved in the question answering system:one is to realize the semantic representation of natural language question and answer,and the other is to realize the semantic matching learning between question and answer.Convolution neural network is a classic deep network structure which has a strong ability to express semantics in the field of natural language processing in recent years,and is widely used in the field of automatic question and answer.This paper reviews some techniques in the question answering system that is based on the convolution neural network,the paper focuses on the knowledge-based and the text-oriented Q&A techniques from the two main perspectives of semantic representation and semantic matching,and indicates the current research difficulties.关键词
卷积神经网络/自动问答/语义表示/语义匹配Key words
convolution neural network/automatic question answering/semantic representation/semantic matching分类
信息技术与安全科学引用本文复制引用
金丽娇,傅云斌,董启文..基于卷积神经网络的自动问答[J].华东师范大学学报（自然科学版）,2017,(5):66-79,14.基金项目
国家重点研发计划(2016YFB1000905) （2016YFB1000905）
国家自然科学基金广东省联合重点项目(U1401256) （U1401256）
国家自然科学基金(61672234,61402177) （61672234,61402177）
华东师范大学信息化软课题 （）
