BrikerMan/Kashgari
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
CrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)
$ git clone https://github.com/zliucr/CrossNER.gitKashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.
CLUENER2020 ไธญๆ็ป็ฒๅบฆๅฝๅๅฎไฝ่ฏๅซ Fine Grained Named Entity Recognition
Learning Named Entity Tagger from Domain-Specific Dictionary
BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition (ACL 2020)
Data from GitHub ยท snapshot Sep 24, 2026