摘要
针对文学作品人物关系复杂,无法进行快速准确查询的问题,本文提出基于文学作品的人物关系问答系统设计方案并进行实例验证。本文采用文本表示、实体识别等自然语言处理技术,研究文学作品中人物关系的自动抽取方法,实现了根据用户输入的人物名称快速返回其人物关系的功能。典型案例验证了系统的有效性。
Aiming at the problem that the relationship between characters in literary works is complex and can not be queried quickly and accurately,this paper proposes a design scheme of a question-and-answer system based on the relationship between characters in literary works and verifies it with examples.In this paper,we use natural language processing technology such as text representation and entity recognition to study the automatic extraction method of the relationship between characters in literary works,and realize the function of returning the relationship between characters quickly according to the user's input names.Typical cases verify the effectiveness of the system.
作者
李思彤
冀美琪
夏欣雨
殷复莲
LI Si-tong;JI Mei-qi;XIA Xin-yu;YIN Fu-lian(Communication University of China,College of Information and Communication Engineering,Beijing 100024,China)
出处
《软件》
2019年第9期139-143,共5页
Software
关键词
人物关系抽取
自动问答系统
文学作品
人物关系三元组
Character relation extraction
Automatic question and answer system
Literature works
Characterrelation triple