计算机工程与应用2017，Vol.53Issue(20)：8-13,6.DOI:10.3778/j.issn.1002-8331.1707-0132
一种基于词对齐的中文深层语义解析模型
Word alignment-based Chinese deep semantic parsing
摘要
Abstract
Semantic parsing is the task of transforming natural-language sentences into complete,formal,symbolic Mean-ing Representations(MR)suitable for reasoning or machine-understanding.In recent years,the research of semantic pars-ing in English has made great progress.However,little work has been done in Chinese semantic parsing.There are inher-ent differences between Chinese and English,therefore one cannot simply apply methods,which are feasible for English, to Chinese.This paper proposes a statistical approach called WACSP aiming at Chinese semantic parsing,which considers the process of converting Chinese sentence into its corresponding meaning as a machine translation procedure.At first,it turns the frequently-used dataset GEOQUERY into Chinese dataset,in which each data contains a Chinese sentence and its accurate meaning.Then it uses the word alignment model to acquire the bilingual dictionary made up by the Chinese natural language string and its meaning. In the end, it determines the ultimate semantic analysis by learning a statistical model.Experimental results show that WACSP performs well with higher precision and coverage.关键词
自然语言处理/语义解析/词对齐模型Key words
natural language processing/semantic parsing/word alignment model分类
信息技术与安全科学引用本文复制引用
郑晓东,胡汉辉,赵林度,吕永涛..一种基于词对齐的中文深层语义解析模型[J].计算机工程与应用,2017,53(20):8-13,6.基金项目
国家自然科学基金面上项目(No.70673010). （No.70673010）
