https://github.com/nusnlp/s2t2
A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues
https://github.com/nusnlp/s2t2
data-augmentation language-model question-answering self-training
Last synced: 4 days ago
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A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues
- Host: GitHub
- URL: https://github.com/nusnlp/s2t2
- Owner: nusnlp
- License: gpl-3.0
- Created: 2021-12-02T03:00:42.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-08-18T02:04:35.000Z (over 1 year ago)
- Last Synced: 2025-03-30T02:22:59.926Z (29 days ago)
- Topics: data-augmentation, language-model, question-answering, self-training
- Language: Python
- Homepage: https://arxiv.org/abs/2202.10948
- Size: 54.7 KB
- Stars: 10
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
## A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues
This repository contains codes of the paper "A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues" published in AAAI 2022.
[](https://ojs.aaai.org/index.php/AAAI/article/view/21349)
[](https://arxiv.org/abs/2202.10948)
### Requirements ###
Check dependencies in `requirements.txt`, install required packages (with python 3.6.8):
```
pip install -r requirements.txt
```
### Data ###
Refer to `README` in each `[dataset]` sub-directory for instructions of data retrieval and preprocessing.
### Training ###
Follow the commands of training in `[dataset]/run.sh`.
Trained models can be specified and downloaded by running `bash get_trained_models.sh`.
### Evaluation ###
Refer to `README` in each `[dataset]` sub-directory for evaluation steps.
### Publication ###
If you use the source code or models from this work, please cite our paper:
```
@inproceedings{lin2022semi,
author = "Lin, Qian and Ng, Hwee Tou",
title = "A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues",
booktitle = "Proceedings of the AAAI Conference on Artificial Intelligence",
year = "2022",
pages = "11011--11019",
}
```
### License ###
The source code and models in this repository are licensed under GNU GPL 3.0 (see [LICENSE](LICENSE)) for non-commercial use. For commercial use of this code, separate commercial licensing is also available. Please contact Prof. Hwee Tou Ng ([[email protected]](mailto:[email protected])).