text2topicloss 1.0.0

Text2topic loss for bi-encoder models

Text2Topic

Implementation of bi-encoder Text2Topic architecture describe in Text2Topic: Multi-Label Text Classification System for Efficient Topic Detection in User Generated Content with Zero-Shot Capabilities

Read the paper & the original repository for details about the algorithm !

• PAPER : https://aclanthology.org/2023.emnlp-industry.10/

Installation

pip install text2topicloss

or

git clone
python -m pip install .

Citations

I'm not the author of the original paper, so if you use this library, please cite the original paper :

@inproceedings{wang-etal-2023-text2topic,
    title = "{T}ext2{T}opic: Multi-Label Text Classification System for Efficient Topic Detection in User Generated Content with Zero-Shot Capabilities",
    author = "Wang, Fengjun  and
      Beladev, Moran  and
      Kleinfeld, Ofri  and
      Frayerman, Elina  and
      Shachar, Tal  and
      Fainman, Eran  and
      Lastmann Assaraf, Karen  and
      Mizrachi, Sarai  and
      Wang, Benjamin",
    editor = "Wang, Mingxuan  and
      Zitouni, Imed",
    booktitle = "Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track",
    month = dec,
    year = "2023",
    address = "Singapore",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.emnlp-industry.10",
    doi = "10.18653/v1/2023.emnlp-industry.10",
    pages = "93--103",
}

License

GNU General Public License v3.0