1. Aumiller, D., Almasian, S., Lackner, S., Gertz, M.: Structural text segmentation of legal documents. In: Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law (2020)
2. Castano, S., Ferrara, A., Montanelli, S., Picascia, S., Riva, D.: A knowledge-based service architecture for legal document building. In: 2nd International Workshop on Knowledge Management and Process Mining for Law. Sherbrooke, Quebec, Canada (2023)
3. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: 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: Human Language Technologies, Volume 1, pp. 4171–4186. Association for Computational Linguistics, Minneapolis, Minnesota (2019). https://doi.org/10.18653/v1/N19-1423, https://aclanthology.org/N19-1423
4. Glavas, G., Ganesh, A., Somasundaran, S.: Training and domain adaptation for supervised text segmentation. In: Workshop on Innovative Use of NLP for Building Educational Applications (2021)
5. Glavas, G., Nanni, F., Ponzetto, S.P.: Unsupervised text segmentation using semantic relatedness graphs. In: International Workshop on Semantic Evaluation (2016)