davidberenstein1957 / concise-concepts

This repository contains an easy and intuitive approach to few-shot NER using most similar expansion over spaCy embeddings. Now with entity scoring.

Date Created 2022-03-13 (2 years ago)

Commits 107 (last one about a year ago)

Stargazers 240 (0 this week)

Watchers 7 (0 this week)

Forks 15

License mit

Ranking

RepositoryStats indexes 534,551 repositories, of these davidberenstein1957/concise-concepts is ranked #147,878 (72nd percentile) for total stargazers, and #258,950 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #25,249/103,470.

davidberenstein1957/concise-concepts is also tagged with popular topics, for these it's ranked: hacktoberfest (#5,692/14043), machine-learning (#2,872/7371), nlp (#847/2260), natural-language-processing (#532/1319), spacy (#49/134)

Other Information

davidberenstein1957/concise-concepts has 1 open pull request on Github, 9 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 4 open issues and 24 closed issues.

There have been 22 releases, the latest one was published on 2023-01-12 (about a year ago) with the name added sense2vec, standalone and fuzzy matching support.

All Topics

ner nlp spacy gensim hacktoberfest machine-learning few-shot-classifcation natural-language-processing

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Recent Commit History

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

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Languages

The only known language in this repository is Python

updated: 2024-06-28 @ 04:52am, id: 469388007 / R_kgDOG_pK5w