JohnGiorgi / seq2rel

The corresponding code for our paper: A sequence-to-sequence approach for document-level relation extraction.

Date Created 2021-01-07 (3 years ago)

Commits 380 (last one 4 months ago)

Stargazers 59 (0 this week)

Watchers 3 (0 this week)

Forks 8

License apache-2.0

Ranking

RepositoryStats indexes 565,600 repositories, of these JohnGiorgi/seq2rel is ranked #404,164 (29th percentile) for total stargazers, and #413,967 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #10,244/16,305.

JohnGiorgi/seq2rel is also tagged with popular topics, for these it's ranked: pytorch (#4,495/5824), named-entity-recognition (#190/217), information-extraction (#105/126), relation-extraction (#89/108)

Other Information

JohnGiorgi/seq2rel has 9 open pull requests on Github, 147 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 10 open issues and 14 closed issues.

There have been 1 release, the latest one was published on 2021-02-25 (3 years ago) with the name Pretrained Models.

Homepage URL: https://share.streamlit.io/johngiorgi/seq2rel/main/demo.py

All Topics

allen pytorch seq2rel seq2seq entity-extraction relation-extraction coreference-resolution information-extraction named-entity-recognition

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74 commits on the default branch (main) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2024-09-19 @ 09:02pm, id: 327695506 / R_kgDOE4g8kg