数据采集与处理2017，Vol.32Issue(1)：26-36,11.DOI:10.16337/j.1004-9037.2017.01.003
自然语言句子抽象语义表示AMR研究综述
Survey on Abstract Meaning Representation
摘要
Abstract
Semantic processing is a key challenge in natural language processing.Abstract meaning representation (AMR) is a novel framework of representing the meaning of a sentence.Instead of a tree,it abstracts the meaning of a sentence into a rooted acyclic directed graph,which solves the argument sharing problem.Thus,the corpus construction and automated parsing of AMR become a heated research field.This paper introduces the AMR's basic concept,annotation guidelines,parsing algorithm and applications.Then we discuss the problems and shortcomings of the parsing algorithms by comparison experiments.We also introduce the development of Chinese AMR researches.At last,we discuss the potentials of AMR,which are fruitful for Chinese semantic processing.关键词
抽象语义表示/句法语义/语义解析/自然语言处理Key words
abstract meaning representation/syntactic semantics/semantic parsing/natural language processing分类
信息技术与安全科学引用本文复制引用
曲维光,周俊生,吴晓东,戴茹冰,顾敏,顾彦慧..自然语言句子抽象语义表示AMR研究综述[J].数据采集与处理,2017,32(1):26-36,11.基金项目
国家自然科学基金(61272221,61472191)资助项目 （61272221,61472191）
江苏省高校哲学社会科学研究项目(2016SJB74004)资助项目. （2016SJB74004）
