IBM/transition-amr-parser
SoTA Abstract Meaning Representation (AMR) parsing with word-node alignments in Pytorch. Includes checkpoints and other tools such as statistical significance Smatch.
Implements transition-based graph decoding with Structured-BART and multilingual variants (mBART) to jointly model AMR graph structures and word-node alignments in Penman notation. Provides significance testing via Smatch bootstrapping and Maximum Bayesian Smatch Ensemble (MBSE) for robust evaluation, with pretrained checkpoints for sentence-level, document-level (handling coreference via `:same-as` edges), and multilingual parsing across English, German, Chinese, and Italian.
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273
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56
Language
Python
License
Apache-2.0
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Last pushed
Sep 17, 2025
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