Kevin Ashley
University of Pittsburgh
H-index: 44
North America-United States
Top articles of Kevin Ashley
Title | Journal | Author(s) | Publication Date |
---|---|---|---|
Empirical legal analysis simplified: reducing complexity through automatic identification and evaluation of legally relevant factors | Philosophical Transactions of the Royal Society A | Morgan A Gray Jaromir Savelka Wesley M Oliver Kevin D Ashley | 2024/4/15 |
Toward eliminating hallucinations: Gpt-based explanatory ai for intelligent textbooks and documentation | CEUR Workshop Proceedings | Francesco Sovrano Kevin Ashley Alberto Bacchelli | 2023/7/7 |
Can GPT Alleviate the Burden of Annotation? | Morgan Gray Jaromir Savelka Wesley Oliver Kevin Ashley | 2023 | |
Can gpt-4 support analysis of textual data in tasks requiring highly specialized domain expertise? | arXiv preprint arXiv:2306.13906 | Jaromir Savelka Kevin D Ashley Morgan A Gray Hannes Westermann Huihui Xu | 2023/6/24 |
The unreasonable effectiveness of large language models in zero-shot semantic annotation of legal texts | Frontiers in Artificial Intelligence | Jaromir Savelka Kevin D Ashley | 2023 |
Pervasive Computational Law | IEEE Pervasive Computing | Clement Guitton Aurelia Tamò-Larrieux Simon Mayer Kevin Ashley Matthias Grabmair | 2023/10/6 |
Automatic identification and empirical analysis of legally relevant factors | Morgan Gray Jaromir Savelka Wesley Oliver Kevin Ashley | 2023/6/19 | |
Question-Answering Approach to Evaluate Legal Summaries | arXiv preprint arXiv:2309.15016 | Huihui Xu Kevin Ashley | 2023/9/26 |
Explaining legal concepts with augmented large language models (gpt-4) | arXiv preprint arXiv:2306.09525 | Jaromir Savelka Kevin D Ashley Morgan A Gray Hannes Westermann Huihui Xu | 2023/6/15 |
Argumentative segmentation enhancement for legal summarization | arXiv preprint arXiv:2307.05081 | Huihui Xu Kevin Ashley | 2023/7/11 |
A Question-Answering Approach to Evaluating Legal Summaries | Huihui Xu Kevin Ashley | 2023 | |
Prospects for legal analytics: some approaches to extracting more meaning from legal texts | University of Cincinnati Law Review | Kevin D Ashley | 2022 |
An annotation schema for the detection of social bias in legal text corpora | Ece Gumusel Vincent Quirante Malic Devan Ray Donaldson Kevin Ashley Xiaozhong Liu | 2022/2/23 | |
On the role of past treatment of terms from written laws in legal reasoning | New Developments in Legal Reasoning and Logic: From Ancient Law to Modern Legal Systems | Jaromir Savelka Kevin D Ashley | 2022 |
Data-centric machine learning in the legal domain | arXiv preprint arXiv:2201.06653 | Hannes Westermann Jaromir Savelka Vern R Walker Kevin D Ashley Karim Benyekhlef | 2022/1/17 |
Thirty years of artificial intelligence and law: the third decade | ARTIFICIAL INTELLIGENCE AND LAW | Guido Governatori Trevor Bench-Capon Bart Verheij Michał Araszkiewicz Enrico Francesconi | 2022/12 |
Data-centric machine learning: Improving model performance and understanding through dataset analysis | Legal Knowledge and Information Systems: JURIX 2021: The Thirty-fourth Annual Conference, Vilnius, Lithuania, 8-10 December 2021 | E Schweighofer | 2022/1/6 |
Toward Automatically Identifying Legally Relevant Factors | GRAY Morgan Jarom r AVELKA Wesley OLIVER Kevin ASHLEY | 2022 | |
Toward an intelligent tutoring system for argument mining in legal texts | arXiv preprint arXiv:2210.13635 | Hannes Westermann Jaromir Savelka Vern R Walker Kevin D Ashley Karim Benyekhlef | 2022/10/24 |
Multi-granularity argument mining in legal texts | arXiv preprint arXiv:2210.09472 | Huihui Xu Kevin Ashley | 2022/10/17 |