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 (3 years ago)

Commits 107 (last one about a year ago)

Stargazers 244 (0 this week)

Watchers 6 (0 this week)

Forks 14

License mit

Ranking

RepositoryStats indexes 632,768 repositories, of these davidberenstein1957/concise-concepts is ranked #163,079 (74th percentile) for total stargazers, and #261,341 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #29,267/129,079.

davidberenstein1957/concise-concepts is also tagged with popular topics, for these it's ranked: hacktoberfest (#6,091/15444), machine-learning (#3,101/8405), nlp (#911/2520), natural-language-processing (#558/1472), spacy (#50/139)

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 (2 years 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: 2025-03-28 @ 01:29pm, id: 469388007 / R_kgDOG_pK5w