AMR3.0

Abstract Meaning Representation (AMR) Annotation Release 3.0

Dataset Information
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Overview

Abstract Meaning Representation (AMR) Annotation Release 3.0 was developed by the Linguistic Data Consortium (LDC), SDL/Language Weaver, Inc., the University of Colorado's Computational Language and Educational Research group and the Information Sciences Institute at the University of Southern California. It contains a sembank (semantic treebank) of over 59,255 English natural language sentences from broadcast conversations, newswire, weblogs, web discussion forums, fiction and web text.

Variants: AMR3.0

Associated Benchmarks

This dataset is used in 1 benchmark:

Recent Benchmark Submissions

Task Model Paper Date
Data-to-Text Generation StructAdapt Structural Adapters in Pretrained Language … 2021-03-16

Research Papers

Recent papers with results on this dataset: