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.

Date Created 2019-10-08 (5 years ago)

Commits 2,294 (last one about a year ago)

Stargazers 243 (0 this week)

Watchers 13 (0 this week)

Forks 48

License apache-2.0

Ranking

RepositoryStats indexes 584,353 repositories, of these IBM/transition-amr-parser is ranked #155,446 (73rd percentile) for total stargazers, and #165,621 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #27,174/116,326.

IBM/transition-amr-parser is also tagged with popular topics, for these it's ranked: machine-learning (#2,992/7926), nlp (#881/2400)

Other Information

IBM/transition-amr-parser has 1 open pull request on Github, 7 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 11 open issues and 38 closed issues.

All Topics

amr nlp amr-graphs amr-parser amr-parsing machine-learning semantic-parsing abstract-meaning-representation

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823 commits on the default branch (master) since jan '22

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updated: 2024-11-20 @ 01:31pm, id: 213517609 / R_kgDODLoFKQ