Automatic Noisy Label Correction for Fine-Grained Entity Typing

This is the source code for IJCAI 2022 paper: Automatic Noisy Label Correction for Fine-Grained Entity Typing.

Requirements

conda create -n FET36 -y python=3.6 && conda activate FET36
pip install -r requirements.txt

Datasets

We use the Ultra-Fine and OntoNotes datasets released by Choi.

sudo chmod +x ./script/get_fet_dataset.sh
./script/get_fet_dataset.sh

Preprocessing

python param_init.py

Usage

See ./script

Download the denoised dataset

./script/get_denoised_dataset.sh
./script/test.sh

Citation

If you find this code helpful, please kindly cite the following paper.

@inproceedings{pan-etal-2021-context-aware,
    title = "Automatic Noisy Label Correction for Fine-Grained Entity Typing",
    author = "Pan, Weiran and Wei, Wei and Zhu, Feida",
    booktitle = "Proceedings of the Thirty-first International Joint Conference on Artificial Intelligence, {IJCAI-22}",
    year = "2022",
}