面向自然语言生成的词汇选择研究  

Research on Lexical Choice for Natural Language Generation

作　　者：王星星 李琳[3] 赵小兵[1,2] WANG Xingxing;LI Lin;ZHAO Xiaobing(Minzu University of China Information Engineering Institute,Beijing 100081,China;Minzu University of China National Language Resource Monitoring&Research Center of Minority Languages,Beijing 100081,China;Qinghai Normal University Computer College,Beijing 100081,China)

机构地区：[1]中央民族大学信息工程学院,北京100081 [2]中央民族大学国家语言资源监测与研究少数民族语言中心,北京100081 [3]青海师范大学计算机学院,西宁810000

出　　处：《中央民族大学学报（自然科学版）》2023年第3期61-68,共8页Journal of Minzu University of China(Natural Sciences Edition)

基　　金：国家社会科学基金重大项目“多民族语言《十三经》跨学科研究及数据库建设”(22&ZD035)。

摘　　要：词汇选择是自然语言生成研究的关键问题,主要研究如何将意思表示映射为恰当词语。目前许多自然语言处理系统仍没有采取恰当的选词策略,选词效果非常不理想。本文从词汇选择研究的理论和方法两个方面,对当前词汇选择研究现状进行梳理,重点分析了当前研究存在的重点和难点,介绍了现有研究在词义表示、词汇选择建模等方面的方法;并介绍了今后词汇选择研究可能的发展趋势。Lexical choice is a key issue in natural language generation research, which mainly studies how to map meaning representations to appropriate words. At present, many natural language processing systems still do not adopt an appropriate lexical choice strategy, and the lexical choice effect is very unsatisfactory. This paper sorts out the current research status of lexical choice from two aspects of the theory and method, focuses on analyzing the key points and difficulties, and introduces the existing research methods in word meaning representation, lexical modeling, etc.. Finally, we introduce the possible development trend of lexical choice research in the future.

关 键 词：词汇选择 词义表示 自然语言理解 

分 类 号：G355[文化科学—情报学]