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《Journal of Data Acquisition and Processing》 2017-01
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Survey on Abstract Meaning Representation

Qu Weiguang;Zhou Junsheng;Wu Xiaodong;Dai Rubing;Gu Min;Gu Yanhui;School of Computer Science and Technology,Nanjing Normal University;School of Chinese language and literature,Nanjing Normal University;  
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.
【Fund】: 国家自然科学基金(61272221 61472191)资助项目;; 江苏省高校哲学社会科学研究项目(2016SJB74004)资助项目
【CateGory Index】: TP391.1
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