1. Anand D, Wagh R (2022) Effective deep learning approaches for summarization of legal texts. J King Saud Univ Comput Inf Sci 34(5):2141–2150
2. Bajaj A, Dangati P, Krishna K, et al (2021) Long document summarization in a low resource setting using pretrained language models. In: Proceedings of the ACL-IJCNLP 2021 student research workshop, pp 71–80
3. Bhattacharya P, Poddar S, Rudra K, et al (2021) Incorporating domain knowledge for extractive summarization of legal case documents. In: Proceedings of the 18th International conference on artificial intelligence and law, pp 22–31
4. Devlin J, Chang M, Lee K, Toutanova K (2019) BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 Conference of the North American chapter of the association for computational linguistics, pp 4171–4186
5. Dong L, Yang N, Wang W, et al (2019) Unified language model pre-training for natural language understanding and generation. In: 33rd conference on neural information processing systems, pp 13042–13054