shushanxingzhe/transformers_ner
Add CRF or LSTM+CRF for huggingface transformers bert to perform better on NER task. It is very simple to use and very convenient to customize
PythonMIT
Stargazers
- binhnaVietnam
- bubbleqi
- BZsun
- chaorensx
- chrishokampAYLIEN
- daiyulejia
- danleivvWuhan University
- drussellmrichieUniversity of Pennsylvania
- fly51flyPRIS
- Giruvegan
- gustavecortalFrance
- HenryYuxuanWangShanghai
- hotabu
- jeffreyling
- linhlt-it-ee
- minjieyuan
- ogozcelikBilkent University
- paudan@Intellerts
- QwQ2000The Pennsylvania State University
- rk19016
- rui-liu有赞
- salohnana2018Jeddah ,Saudi Arabia
- savasyIstanbul Bilgi University & Ryerson University
- serkanarsTurkNet
- shushanxingzheShenzhen
- shutanzzzBLCU
- siam1991
- SresserS
- thomas-corcoranSan Jose, CA
- Unintented
- v-juma1
- wuladf
- xiaowu0162UCLA
- yanqiangmiffyICT-CAS
- YasminShaaban4444
- ZJZhang123