stanleylsx / entity_extractor_by_ner

基于Tensorflow2.3开发的NER模型,都是CRF范式,包含Bilstm(IDCNN)-CRF、Bert-Bilstm(IDCNN)-CRF、Bert-CRF,可微调预训练模型,可对抗学习,用于命名实体识别,配置后可直接运行。

Date Created 2020-01-10 (5 years ago)
Commits 177 (last one 2 months ago)
Stargazers 414 (0 this week)
Watchers 1 (0 this week)
Forks 74
License unknown
Ranking

RepositoryStats indexes 615,339 repositories, of these stanleylsx/entity_extractor_by_ner is ranked #107,451 (83rd percentile) for total stargazers, and #556,220 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #18,240/124,455.

stanleylsx/entity_extractor_by_ner is also tagged with popular topics, for these it's ranked: tensorflow2 (#48/250)

Other Information

stanleylsx/entity_extractor_by_ner has 1 open pull request on Github, 1 pull request has been merged over the lifetime of the repository.

Github issues are enabled, there are 3 open issues and 58 closed issues.

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

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The only known language in this repository is Python

PythonPython

updated: 2025-02-11 @ 08:36pm, id: 232945357 / R_kgDODeJ2zQ