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
Jan 1, 2025 - Python
SoTA Abstract Meaning Representation (AMR) parsing with word-node alignments in Pytorch. Includes checkpoints and other tools such as statistical significance Smatch.
A python library that makes AMR parsing, generation and visualization simple.
AMR Parsing as Sequence-to-Graph Transduction
SPRING is a seq2seq model for Text-to-AMR and AMR-to-Text (AAAI2021).
Abstract Meaning Representation (AMR) tutorial slides
AMR Parsing via Graph-Sequence Iterative Inference
Organized inventory of research using the Abstract Meaning Representation
Abstract Meaning Representation (AMR) Hackathon
Cornell AMR Semantic Parser (Artzi et al., EMNLP 2015)
A package for handy processing of semantic graphs such as AMR, with a special focus on standardized evaluation
XL-AMR is a sequence-to-graph cross-lingual AMR parser that exploits transfer learning (EMNLP2020).
Code for ACL22 short Paper "Hierarchical Curriculum Learning for AMR Parsing"
Convert Abstract Meaning Representation (AMR) into first-order logic
A python library / model for creating co-references between AMR graph nodes.
Abstract Meaning Representation (AMR) parser and generator for Javascript
Opinion Summarization based on Abstract Meaning Representation
papers and codes for text summarization research see readme for more details
Code of IIE-NLP-Eyas Team for ReCAM (Task 4) @SemEval2021 (https://arxiv.org/abs/2102.12777)
Check whether a sentence adhere to five principles of clear writing of Williams and Bizup.
CALAMR: Component ALignment for Abstract Meaning Representation
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