/ILDS

The repository contains the dataset and result of the paper "Indian Legal Text Summarization: A Text Normalization-based Approach", presented at IEEE INDICON 2022

Primary LanguageJupyter Notebook

ILDS (Indian Legal Documents Summarization)

Indian Legal Documents Summarization

The repository contains the dataset and result of the paper "Indian Legal Text Summarization: A Text Normalization-based Approach"

Our contributions can be summarized as below:

  • We introduced a new methodology for Indian Legal text-preprocessing.
  • We create a dataset with Indian Legal abbreviation & its full version.
  • We experiment with two state-of-the-art text summarization model (BART and PEGASUS) without fine-tuning them to evaluate our proposed methodology.

License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

You are free to:
Share — copy and redistribute the material in any medium or format.
Adapt — remix, transform, and build upon the material for any purpose, even commercially.
Under the following terms:
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Citation

@INPROCEEDINGS{10039891,
  author={Ghosh, Satyajit and Dutta, Mousumi and Das, Tanaya},
  booktitle={2022 IEEE 19th India Council International Conference (INDICON)}, 
  title={Indian Legal Text Summarization: A Text Normalization-based Approach}, 
  year={2022},
  volume={},
  number={},
  pages={1-4},
  doi={10.1109/INDICON56171.2022.10039891}}

Contact

In case of any queries, please contact satyajit.ghosh.edu@gmail.com