| Using argument mining for legal text summarization S Villata IOS Press 334, 184, 2020 | 31 | 2020 |
| Can gpt-4 support analysis of textual data in tasks requiring highly specialized domain expertise? J Savelka, KD Ashley, MA Gray, H Westermann, H Xu arXiv preprint arXiv:2306.13906, 2023 | 28 | 2023 |
| Improving sentence retrieval from case law for statutory interpretation J Savelka, H Xu, KD Ashley Proceedings of the seventeenth international conference on artificial …, 2019 | 27 | 2019 |
| Explaining legal concepts with augmented large language models (gpt-4) J Savelka, KD Ashley, MA Gray, H Westermann, H Xu arXiv preprint arXiv:2306.09525, 2023 | 20 | 2023 |
| Toward summarizing case decisions via extracting argument issues, reasons, and conclusions H Xu, J Savelka, KD Ashley Proceedings of the eighteenth international conference on artificial …, 2021 | 20 | 2021 |
| Accounting for sentence position and legal domain sentence embedding in learning to classify case sentences H Xu, J Savelka, KD Ashley Legal Knowledge and Information Systems, 33-42, 2021 | 20 | 2021 |
| Multi-granularity argument mining in legal texts H Xu, K Ashley arXiv preprint arXiv:2210.09472, 2022 | 12 | 2022 |
| Argumentative segmentation enhancement for legal summarization H Xu, K Ashley arXiv preprint arXiv:2307.05081, 2023 | 5 | 2023 |
| Question-Answering Approach to Evaluate Legal Summaries H Xu, K Ashley arXiv preprint arXiv:2309.15016, 2023 | | 2023 |
| A Question-Answering Approach to Evaluating Legal Summaries H Xu, K Ashley Legal Knowledge and Information Systems, 293-298, 2023 | | 2023 |
Kevin AshleyProfessor of Law and Intelligent Systems, University of PittsburghVerified email at pitt.edu
