AMR-To-Text Generation with Graph Transformer

• Published in: Transactions of the Association for Computational Linguistics Vol. 8; pp. 19 - 33
• Main Authors: Wang, Tianming, Wan, Xiaojun, Jin, Hanqi
• Format: Journal Article
• Language: English
• Published: One Rogers Street, Cambridge, MA 02142-1209, USA MIT Press 01.01.2020; MIT Press Journals, The; The MIT Press
• Subjects: Automatic text generation; Graph representations; Graph theory; Graphical representations; Graphs; Linguistics; Machine translation; Natural language; Natural language processing; Neural networks; Semantic relations; Semantics; Transformers; Traveling salesman problem

Abstract meaning representation (AMR)-to-text generation is the challenging task of generating natural language texts from AMR graphs, where nodes represent concepts and edges denote relations. The current state-of-the-art methods use graph-to-sequence models; however, they still cannot significantl...