Kevin Ashley

Kevin Ashley

University of Pittsburgh

H-index: 44

North America-United States

About Kevin Ashley

Kevin Ashley, With an exceptional h-index of 44 and a recent h-index of 24 (since 2020), a distinguished researcher at University of Pittsburgh, specializes in the field of Artificial Intelligence and Law.

His recent articles reflect a diverse array of research interests and contributions to the field:

Empirical legal analysis simplified: reducing complexity through automatic identification and evaluation of legally relevant factors

Toward eliminating hallucinations: Gpt-based explanatory ai for intelligent textbooks and documentation

Can GPT Alleviate the Burden of Annotation?

Can gpt-4 support analysis of textual data in tasks requiring highly specialized domain expertise?

The unreasonable effectiveness of large language models in zero-shot semantic annotation of legal texts

Pervasive Computational Law

Automatic identification and empirical analysis of legally relevant factors

Question-Answering Approach to Evaluate Legal Summaries

Kevin Ashley Information

University

Position

Professor of Law and Intelligent Systems

Citations(all)

8071

Citations(since 2020)

2603

Cited By

6307

hIndex(all)

44

hIndex(since 2020)

24

i10Index(all)

139

i10Index(since 2020)

61

Email

University Profile Page

University of Pittsburgh

Google Scholar

View Google Scholar Profile

Kevin Ashley Skills & Research Interests

Artificial Intelligence and Law

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

See List of Professors in Kevin Ashley University(University of Pittsburgh)