Hi, this is the code of our paper "Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning" accepted by ACL 2024 Findings. Our paper is available here.
Accepted by ACL 2024 Findings. 2024.05
Code released at Github. 2024.09
Use requirements.txt to get the right environments
We provide three bash scripts run_conll03.sh, run_ontonotes5.sh, run_webpage.sh, run_wikigold.sh, run_twitter.sh for running the model on the datasets.
you can run the code like:
sh <run_dataset>.sh <GPU ID> <DATASET NAME>
e.g.
sh run_conll03.sh 0,1 conll03
We got our results in single A40.