Introduction
This repository contains implementations and datasets made available in the following papers :
- Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation accepted at AACL-IJCNLP 2022.
- A Comparative Study of Summarization Algorithms Applied to Legal Case Judgments accepted at ECIR 2019.
We provide the code base of various Extractive and Abstractive summarization algorithms applied to legal case documents. We also provide three summarization datasets from the Indian and UK Supreme Court case documents.
Dataset
We make available 3 legal document summarization datasets. Please refer to the dataset folder for more details :
Extractive Summarization methods
We provide the implementations of the following methods in the extractive folder of the repository :
Abstractive Summarization methods
- Scripts to generate fine tuning data using following techniques
- Scripts to fine-tune following models
- Scripts to generate summaries using following models/methods
- BART(CLS, MCS, SIF)
- BART_RR
- BERT-BART
- Legal-LED
- Pegasus
- Helper chunking and combiner scripts for BertSum-Abs and Pointer Generator methods
Availability of Trained Models
The following models trained on the IN-Abs & UK-Abs datasets are publicly available at https://zenodo.org/record/7234359#.Y2tShdJByC1
-
Extractive : SummaRuNNer, Gist
-
Abstractive : Legal-Pegasus, Legal-LED
# Citation
If you are using the implementations / datasets / trained models, please refer to the following papers:
```
@inproceedings{shukla2022,
title={Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation},
author={Shukla, Abhay and Bhattacharya, Paheli and Poddar, Soham and Mukherjee, Rajdeep and Ghosh, Kripabandhu and Goyal, Pawan and Ghosh, Saptarshi},
booktitle={The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing},
year={2022}
}
@inproceedings{bhattacharya2019comparative,
title={A comparative study of summarization algorithms applied to legal case judgments},
author={Bhattacharya, Paheli and Hiware, Kaustubh and Rajgaria, Subham and Pochhi, Nilay and Ghosh, Kripabandhu and Ghosh, Saptarshi},
booktitle={European Conference on Information Retrieval},
pages={413--428},
year={2019},
organization={Springer}
}
```