SoTA Abstract Meaning Representation (AMR) parsing with word-node alignments in Pytorch. Includes checkpoints and other tools such as statistical significance Smatch.
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Updated
Jun 15, 2023 - Python
SoTA Abstract Meaning Representation (AMR) parsing with word-node alignments in Pytorch. Includes checkpoints and other tools such as statistical significance Smatch.
AMR Parsing as Sequence-to-Graph Transduction
A python library that makes AMR parsing, generation and visualization simple.
SPRING is a seq2seq model for Text-to-AMR and AMR-to-Text (AAAI2021).
AMR Parsing via Graph-Sequence Iterative Inference
Organized inventory of research using the Abstract Meaning Representation
Abstract Meaning Representation (AMR) tutorial slides
Abstract Meaning Representation (AMR) Hackathon
Cornell AMR Semantic Parser (Artzi et al., EMNLP 2015)
XL-AMR is a sequence-to-graph cross-lingual AMR parser that exploits transfer learning (EMNLP2020).
A package for handy processing of semantic graphs such as AMR, with a special focus on standardized evaluation
papers and codes for text summarization research see readme for more details
A python library / model for creating co-references between AMR graph nodes.
Abstract Meaning Representation (AMR) parser and generator for Javascript
CALAMR: Component ALignment for Abstract Meaning Representation
Opinion Summarization based on Abstract Meaning Representation
Check whether a sentence adhere to five principles of clear writing of Williams and Bizup.
Evaluation metrics to compare AMR graphs.
AMR annotation and feature generation
Convert Abstract Meaning Representation (AMR) into first-order logic
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