Publications

• 2024

  Elaraby, Mohamad; Litman, Diane; Xu, Huihui; Gray, Morgan; Ashley, Kevin (2024). Including Argumentation into Human Evaluation of Long Document Abstractive Summarization: A Case Study on Long Legal Opinions. HumanEval Workshop at LREC-COLING 2024. Torino, Italy.

• 2023

  Xu, Huihui; Ashley, Kevin (2023). A Question-Answering Approach to Evaluating Legal Summaries. Legal Knowledge and Information Systems (Jurix 2023). Maastricht, Netherlands.

  Mohamad Elaraby, Yang Zhong, and Diane Litman, Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking, Findings of the 61st Annual meeting of the Association for Computational Linguistics (ACL), Toronto, Canada, 2023.

  Xu, Huihui, and Kevin Ashley (2023). Argumentative Segmentation Enhancement for Legal Summarization. ASAIL 2023. arXiv preprint arXiv:2307.05081 (2023).

  Zhong, Yang; Litman, Diane (2023). STRONG -- Structure Controllable Legal Opinion Summary Generation. IJCNLPAACL. Bali, Indonesia.

• 2022

  Elaraby, Mohamed and Litman, Diane. (2022). ArgLegalSumm: Improving Abstractive Summarization of Legal Documents with Argument Mining. Proceedings of the 29th International Conference on Computational Linguistics. pp. 6187-6194.

  Zhong, Yang, and Diane Litman. (2022) Computing and Exploiting Document Structure to Improve Unsupervised Extractive Summarization of Legal Case Decisions. In Proceedings of the Natural Legal Language Processing Workshop 2022, pp. 322-337.

  Xu, H. and Ashley, K. (2022) Multi-granularity Argument Mining in Legal Texts. In Legal Knowledge and Information Systems, Jurix 2022. pp. 261-266. IOS Press. Saarbrücken.

• 2021

  Šavelka, Jaromír, and Kevin D. Ashley. "Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models." In Findings of the Association for Computational Linguistics: EMNLP 2021, pp. 4273-4283. 2021.

  “Accounting for Sentence Position and Legal Domain Sentence Embedding in Learning to Classify Case Sentences,” Xu, H., Savelka, J., Ashley, K., JURIX 2021.

  Savelka, J., and Ashley, K. D. (2021). Legal Information Retrieval for Understanding Statutory Terms. Artificial Intelligence and Law. Springer.

  “Toward Summarizing Case Decisions via Extracting Argument Issues, Reasons, and Conclusions,” Xu, H., Savelka, J., Ashley, K., ICAIL2021.

• 2020

  Savelka, Jaromír, and Kevin D. Ashley. "Learning to Rank Sentences for Explaining Statutory Terms." In ASAIL@ JURIX. 2020.

  “Using Argument Mining for Legal Text Summarization,” Xu, H., Savelka, J., Ashley, K., JURIX 2020.

  “Discovering Sentences for Argumentation about the Meaning of Statutory and Regulatory Terms”, Jaromir Savelka, Ph.D. Dissertation, UPitt ISP.

• 2019

  Savelka, Jaromir, Huihui Xu, and Kevin D. Ashley. "Improving sentence retrieval from case law for statutory interpretation." In Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law, pp. 113-122. 2019.

• 2016

  Šavelka, Jaromír, and Kevin D. Ashley. "Extracting case law sentences for argumentation about the meaning of statutory terms." In Proceedings of the Third Workshop on Argument Mining (ArgMining2016), pp. 50-59. 2016.