A Study on Abstract Meaning Representation Applications

Abstract Meaning Representation (AMR) is a representation model in which AMRs arerooted and labeled graphs that capture semantics on sentence-level and abstract away fromMorpho-Syntactic properties. The graph’s nodes represent meaning concepts, and the edge labelsshow relations between them. AMR application in Natural Language Processing tasks is widelyincreasing as a principal form of structured sentence semantics, and it is considered as a turningpoint for NLP research. In this paper, we studied the recent works on AMR applications in variousNLP tasks, which mostly worked on English language. Moreover, we compare them and discusssome basic features of them.

Keywords:

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