Nasim Tohidi - Artificial Engineering Departement, Faculty of Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran
Chitra Dadkhah - Artificial Engineering Departement, Faculty of Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran

Abstract Meaning Representation (AMR) is a representation model in which AMRs are rooted and labeled graphs that capture semantics on the sentence level while abstracting away from Morpho-Syntactic properties. The nodes of the graph represent meaning concepts and the edge labels show relationships between them. The application of AMR, as a principal form of structured sentence semantics, in Natural Language Processing (NLP) tasks is widely increasing, and it is considered a turning point for NLP research. The present study gives a brief review of the existing AMR applications in various NLP tasks. Moreover, they are compared and some of their basic features are discussed.

Abstract Meaning Representation, Application, Natural Language Processing, text, Semantic