MTIN

This project involves the code and supplementary materials of paper "Improving Stance Detection with Multi-task Interaction Network".

Citation

If you are use this code for you research, please cite our paper.

@inproceedings{CHAI-MTIN,
            title = {Improving Multi-task Stance Detection with Multi-task Interaction Network},
            author = {Chai, Heyan  and
                Tang, Siyu  and
                Cui, Jinhao  and
                Ding, Ye  and
                Fang, Binxing  and
                Liao, Qing},
            booktitle = {Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022},
            year = {2022},
            address = {Abu Dhabi, United Arab Emirates},
            publisher = {Association for Computational Linguistics},
            url = {https://aclanthology.org/2022.emnlp-main.193},
            pages = {2990--3000},
}

Dependencies

pytorch == 1.9.0
numpy == 1.20.1
scikit-learn == 0.24.1
transformer == 4.12.3
scipy == 1.6.2
spacy == 3.2.0
digitalepidemiologylab/covid-twitter-bert-v2-mnli

Run

Running MTIN is followed as:

python -W ignore::RuntimeWarning run.py

If you want to switch datasets, modify the index of "target_list" in run.py

Gcjh/MTIN-master

MTIN

Citation

Dependencies

Run