| ## Small print | |
| <p style="background-color: #fff9f9; border: 1px solid #ff0000; padding: 10px;"> | |
| Warning: This demo is highly experimental and not ready for production use. | |
| </p> | |
| This demo is a proof of concept for visualizing the semantic differences between two text documents. | |
| The input documents may or may not be written in the same language. | |
| In our paper, we evaluate three simple, unsupervised approaches based on BERT-like encoder models. | |
| This demo implements the approaches `DiffAlign` and `DiffDel` using the model [ZurichNLP/unsup-simcse-xlm-roberta-base](https://huggingface.co/ZurichNLP/unsup-simcse-xlm-roberta-base). See the [XLM-R model](https://huggingface.co/xlm-roberta-base) for a list of supported languages. | |
| The third approach, `DiffMask`, was not included in the demo because it is very slow. | |
| More resources: | |
| - Paper: https://arxiv.org/abs/2305.13303 | |
| - Code: https://github.com/ZurichNLP/recognizing-semantic-differences | |
| ## Citation | |
| ```bibtex | |
| @article{vamvas-sennrich-2023-rsd, | |
| title={Towards Unsupervised Recognition of Semantic Differences in Related Documents}, | |
| author={Jannis Vamvas and Rico Sennrich}, | |
| year={2023}, | |
| eprint={2305.13303}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CL} | |
| } | |
| ``` | |