Organized inventory of research using the Abstract Meaning Representation

A package for handy processing of semantic graphs such as AMR, with a special focus on standardized evaluation

AMR annotation and feature generation

Convert Abstract Meaning Representation (AMR) into first-order logic

AMR Parsing as Sequence-to-Graph Transduction

CALAMR: Component ALignment for Abstract Meaning Representation

XL-AMR is a sequence-to-graph cross-lingual AMR parser that exploits transfer learning (EMNLP2020).

A python library that makes AMR parsing, generation and visualization simple.

Abstract Meaning Representation (AMR) parser and generator for Javascript

A server for IncidentAMR

Check whether a sentence adhere to five principles of clear writing of Williams and Bizup.

SoTA Abstract Meaning Representation (AMR) parsing with word-node alignments in Pytorch. Includes checkpoints and other tools such as statistical significance Smatch.

AMR Parsing via Graph-Sequence Iterative Inference

papers and codes for text summarization research see readme for more details

A python library / model for creating co-references between AMR graph nodes.

Opinion Summarization based on Abstract Meaning Representation

Code for ACL22 short Paper "Hierarchical Curriculum Learning for AMR Parsing"

Abstract Meaning Representation (AMR) tutorial slides

SPRING is a seq2seq model for Text-to-AMR and AMR-to-Text (AAAI2021).

Code of IIE-NLP-Eyas Team for ReCAM (Task 4) @SemEval2021 (https://arxiv.org/abs/2102.12777)