declare-lab / RelationPrompt

This repository implements our ACL Findings 2022 research paper RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. The goal of Zero-Shot Relation Triplet Extraction (ZeroRTE) is to extract relation triplets of the format (head entity, tail entity, relation), despite not having annotated data for the test relation labels.

Date Created 2021-12-01 (2 years ago)

Commits 24 (last one about a year ago)

Stargazers 124 (0 this week)

Watchers 6 (0 this week)

Forks 16

License mit

Ranking

RepositoryStats indexes 579,555 repositories, of these declare-lab/RelationPrompt is ranked #249,129 (57th percentile) for total stargazers, and #296,754 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #45,463/115,123.

declare-lab/RelationPrompt is also tagged with popular topics, for these it's ranked: relation-extraction (#62/109)

Other Information

declare-lab/RelationPrompt has 2 open pull requests on Github, 3 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 9 open issues and 6 closed issues.

There have been 1 release, the latest one was published on 2022-04-14 (2 years ago) with the name Initial code and data release.

All Topics

generative-models data-augumentation relation-extraction

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

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updated: 2024-10-22 @ 09:32am, id: 433641930 / R_kgDOGdjZyg