A Short Review of Abstract Meaning Representation Applications

Document Type : Research Paper

Authors

Artificial Engineering Departement, Faculty of Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran

Abstract

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.

Keywords

Main Subjects


 
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