Kevin D. Ashley

ORCID

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 45

Top Venues

Publications

T. Y. S. S. Santosh, Kevin D. Ashley, Katie Atkinson, Matthias Grabmair
Towards Supporting Legal Argumentation with NLP: Is More Data Really All You Need? CoRR (2024)
Jaromír Savelka, Kevin D. Ashley, Morgan A. Gray, Hannes Westermann, Huihui Xu
Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise? CoRR (2023)
Clement Guitton, Aurelia Tamò-Larrieux, Simon Mayer, Kevin D. Ashley, Matthias Grabmair, Galileo Sartor, Giovanni Sartor, Gijs van Dijck
Pervasive Computational Law. IEEE Pervasive Comput. 22 (3) (2023)
Huihui Xu, Kevin D. Ashley
Argumentative Segmentation Enhancement for Legal Summarization. ASAIL@ICAIL (2023)
Jaromír Savelka, Kevin D. Ashley
The unreasonable effectiveness of large language models in zero-shot semantic annotation of legal texts. Frontiers Artif. Intell. 6 (2023)
Jaromír Savelka, Kevin D. Ashley, Morgan A. Gray, Hannes Westermann, Huihui Xu
Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise? ASAIL@ICAIL (2023)
Morgan A. Gray, Jaromír Savelka, Wesley M. Oliver, Kevin D. Ashley
Automatic Identification and Empirical Analysis of Legally Relevant Factors. ICAIL (2023)
Morgan A. Gray, Jaromír Savelka, Wesley M. Oliver, Kevin D. Ashley
Can GPT Alleviate the Burden of Annotation? JURIX (2023)
Jaromír Savelka, Kevin D. Ashley, Morgan A. Gray, Hannes Westermann, Huihui Xu
Explaining Legal Concepts with Augmented Large Language Models (GPT-4). CoRR (2023)
Huihui Xu, Kevin D. Ashley
Question-Answering Approach to Evaluate Legal Summaries. CoRR (2023)
Francesco Sovrano, Kevin D. Ashley, Alberto Bacchelli
Eliminating Hallucinations: GPT-based Explanatory AI for Intelligent Textbooks and Documentation. iTextbooks@AIED (2023)
Huihui Xu, Kevin D. Ashley
Argumentative Segmentation Enhancement for Legal Summarization. CoRR (2023)
Huihui Xu, Kevin D. Ashley
A Question-Answering Approach to Evaluating Legal Summaries. JURIX (2023)
Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
Toward an Intelligent Tutoring System for Argument Mining in Legal Texts. CoRR (2022)
Serena Villata, Michal Araszkiewicz, Kevin D. Ashley, Trevor J. M. Bench-Capon, Luther Karl Branting, Jack G. Conrad, Adam Wyner
Thirty years of artificial intelligence and law: the third decade. Artif. Intell. Law 30 (4) (2022)
Huihui Xu, Kevin D. Ashley
Multi-granularity Argument Mining in Legal Texts. CoRR (2022)
Morgan A. Gray, Jaromír Savelka, Wesley M. Oliver, Kevin D. Ashley
Toward Automatically Identifying Legally Relevant Factors. JURIX (2022)
Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
Toward an Intelligent Tutoring System for Argument Mining in Legal Texts. JURIX (2022)
Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
Data-Centric Machine Learning in the Legal Domain. CoRR (2022)
Huihui Xu, Kevin D. Ashley
Multi-Granularity Argument Mining in Legal Texts. JURIX (2022)
Jaromír Savelka, Kevin D. Ashley
Legal information retrieval for understanding statutory terms. Artif. Intell. Law 30 (2) (2022)
Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
Data-Centric Machine Learning: Improving Model Performance and Understanding Through Dataset Analysis. JURIX (2021)
Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
Sentence Embeddings and High-speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents. CoRR (2021)
Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
Computer-Assisted Creation of Boolean Search Rules for Text Classification in the Legal Domain. CoRR (2021)
Huihui Xu, Jaromír Savelka, Kevin D. Ashley
Toward summarizing case decisions via extracting argument issues, reasons, and conclusions. ICAIL (2021)
Jaromír Savelka, Hannes Westermann, Karim Benyekhlef, Charlotte S. Alexander, Jayla C. Grant, David Restrepo Amariles, Rajaa El Hamdani, Sébastien Meeùs, Michal Araszkiewicz, Kevin D. Ashley, Alexandra Ashley, Karl Branting, Mattia Falduti, Matthias Grabmair, Jakub Harasta, Tereza Novotná, Elizabeth Tippett, Shiwanni Johnson
Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains. CoRR (2021)
Jaromír Savelka, Kevin D. Ashley
Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models. CoRR (2021)
Jaromír Savelka, Hannes Westermann, Karim Benyekhlef, Charlotte S. Alexander, Jayla C. Grant, David Restrepo Amariles, Rajaa El Hamdani, Sébastien Meeùs, Aurore Clément Troussel, Michal Araszkiewicz, Kevin D. Ashley, Alexandra Ashley, Karl Branting, Mattia Falduti, Matthias Grabmair, Jakub Harasta, Tereza Novotná, Elizabeth Tippett, Shiwanni Johnson
Lex Rosetta: transfer of predictive models across languages, jurisdictions, and legal domains. ICAIL (2021)
Jaromír Savelka, Kevin D. Ashley
Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models. EMNLP (Findings) (2021)
Huihui Xu, Jaromír Savelka, Kevin D. Ashley
Accounting for Sentence Position and Legal Domain Sentence Embedding in Learning to Classify Case Sentences. JURIX (2021)
Jaromír Savelka, Kevin D. Ashley
Learning to Rank Sentences for Explaining Statutory Terms. ASAIL@JURIX (2020)
Huihui Xu, Jaromír Savelka, Kevin D. Ashley
Using Argument Mining for Legal Text Summarization. JURIX (2020)
Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
Sentence Embeddings and High-Speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents. JURIX (2020)
Linwu Zhong, Ziyi Zhong, Zinian Zhao, Siyuan Wang, Kevin D. Ashley, Matthias Grabmair
Automatic Summarization of Legal Decisions using Iterative Masking of Predictive Sentences. ICAIL (2019)
Jaromír Savelka, Huihui Xu, Kevin D. Ashley
Improving Sentence Retrieval from Case Law for Statutory Interpretation. ICAIL (2019)
Hannes Westermann, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
Using Factors to Predict and Analyze Landlord-Tenant Decisions to Increase Access to Justice. ICAIL (2019)
Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
Computer-Assisted Creation of Boolean Search Rules for Text Classification in the Legal Domain. JURIX (2019)
Jaromír Savelka, Kevin D. Ashley
Segmenting U.S. Court Decisions into Functional and Issue Specific Parts. JURIX (2018)
Mohammad Hassan Falakmasir, Kevin D. Ashley
Utilizing Vector Space Models for Identifying Legal Factors from Text. JURIX (2017)
Brendan Barstow, Lisa Fazio, Jordan Lippman, Mohammad Hassan Falakmasir, Christian D. Schunn, Kevin D. Ashley
The Impacts of Domain-General vs. Domain-Specific Diagramming Tools on Writing. Int. J. Artif. Intell. Educ. 27 (4) (2017)
Jaromír Savelka, Kevin D. Ashley
Detecting Agent Mentions in U.S. Court Decisions. JURIX (2017)
Fattaneh Jabbari, Mohammad Hassan Falakmasir, Kevin D. Ashley
Identifying Thesis Statements in Student Essays: The Class Imbalance Challenge and Resolution. FLAIRS Conference (2016)
Apoorva Bansal, Zheyuan Bu, Biswajeet Mishra, Silun Wang, Kevin D. Ashley, Matthias Grabmair
Document Ranking with Citation Information and Oversampling Sentence Classification in the LUIMA Framework. JURIX (2016)
Alok Baikadi, Christian D. Schunn, Kevin D. Ashley
Impact of Revision Planning on Peer-Reviewed Writing. EDM (Workshops) (2016)
Jaromír Savelka, Kevin D. Ashley
Extracting Case Law Sentences for Argumentation about the Meaning of Statutory Terms. ArgMining@ACL (2016)
Brendan Barstow, Christian D. Schunn, Lisa Fazio, Mohammad Hassan Falakmasir, Kevin D. Ashley
Improving Science Writing in Research Methods Classes Through Computerized Argument Diagramming. CogSci (2015)
Matthias Grabmair, Kevin D. Ashley, Ran Chen, Preethi Sureshkumar, Chen Wang, Eric Nyberg, Vern R. Walker
Introducing LUIMA: an experiment in legal conceptual retrieval of vaccine injury decisions using a UIMA type system and tools. ICAIL (2015)
Jaromír Savelka, Gaurav Trivedi, Kevin D. Ashley
Applying an Interactive Machine Learning Approach to Statutory Analysis. JURIX (2015)
Ilya M. Goldin, Rosa Lynn Pinkus, Kevin D. Ashley
Validity and Reliability of an Instrument for Assessing Case Analyses in Bioengineering Ethics Education. Sci. Eng. Ethics 21 (3) (2015)
Alok Baikadi, Christian Schunn, Kevin D. Ashley
Understanding Revision Planning in Peer-Reviewed Writing. EDM (2015)
Jaromír Savelka, Kevin D. Ashley
Transfer of predictive models for classification of statutory texts in multi-jurisdictional settings. ICAIL (2015)
Collin F. Lynch, Kevin D. Ashley
Empirically Valid Rules for Ill-Defined Domains. EDM (2014)
Jaromír Savelka, Matthias Grabmair, Kevin D. Ashley
Mining Information from Statutory Texts in Multi-Jurisdictional Settings. JURIX (2014)
Collin F. Lynch, Mohammad Hassan Falakmasir, Kevin D. Ashley
Matching Hypothesis Text in Diagrams and Essays. EDM (2014)
Collin F. Lynch, Kevin D. Ashley, Min Chi
Can Diagrams Predict Essay Grades? Intelligent Tutoring Systems (2014)
Mohammad Hassan Falakmasir, Kevin D. Ashley, Christian D. Schunn, Diane J. Litman
Identifying Thesis and Conclusion Statements in Student Essays to Scaffold Peer Review. Intelligent Tutoring Systems (2014)
Matthias Grabmair, Kevin D. Ashley
Using event progression to enhance purposive argumentation in the value judgment formalism. ICAIL (2013)
Mohammad Hassan Falakmasir, Kevin D. Ashley, Christian D. Schunn
Using Argument Diagramming to Improve Peer Grading of Writing Assignments. AIED Workshops (2013)
Kevin D. Ashley, Vern R. Walker
From Information Retrieval (IR) to Argument Retrieval (AR) for Legal Cases: Report on a Baseline Study. JURIX (2013)
Kevin D. Ashley, Vern R. Walker
Toward constructing evidence-based legal arguments using legal decision documents and machine learning. ICAIL (2013)
Trevor J. M. Bench-Capon, Michal Araszkiewicz, Kevin D. Ashley, Katie Atkinson, Floris Bex, Filipe Borges, Danièle Bourcier, Paul Bourgine, Jack G. Conrad, Enrico Francesconi, Thomas F. Gordon, Guido Governatori, Jochen L. Leidner, David D. Lewis, Ronald Prescott Loui, L. Thorne McCarty, Henry Prakken, Frank Schilder, Erich Schweighofer, Paul Thompson, Alex Tyrrell, Bart Verheij, Douglas N. Walton, Adam Z. Wyner
A history of AI and Law in 50 papers: 25 years of the international conference on AI and Law. Artif. Intell. Law 20 (3) (2012)
Collin F. Lynch, Kevin D. Ashley, Mohammad Hassan Falakmasir
Comparing Argument Diagrams. JURIX (2012)
Ilya M. Goldin, Kevin D. Ashley
Peering Inside Peer Review with Bayesian Models. AIED (2011)
Matthias Grabmair, Kevin D. Ashley
Facilitating case comparison using value judgments and intermediate legal concepts. ICAIL (2011)
Matthias Grabmair, Kevin D. Ashley, Rebecca Hwa, Patricia M. Sweeney
Toward Extracting Information from Public Health Statutes using Text Classification Machine Learning. JURIX (2011)
Kevin D. Ashley, Ilya M. Goldin
Toward AI-enhanced Computer-supported Peer Review in Legal Education. JURIX (2011)
Bruce M. McLaren, Kevin D. Ashley
Can temporal representation and reasoning make a difference in automated legal reasoning?: lessons from an AI-based ethical reasoner. ICAIL (2011)
Matthias Grabmair, Kevin D. Ashley
Argumentation with Value Judgments - An Example of Hypothetical Reasoning. JURIX (2010)
Ilya M. Goldin, Kevin D. Ashley
Eliciting Informative Feedback in Peer Review: Importance of Problem-Specific Scaffolding. Intelligent Tutoring Systems (1) (2010)
Kevin D. Ashley, Will Bridewell
Emerging AI & Law approaches to automating analysis and retrieval of electronically stored information in discovery proceedings. Artif. Intell. Law 18 (4) (2010)
Kevin D. Ashley, Stefanie Brüninghaus
Automatically classifying case texts and predicting outcomes. Artif. Intell. Law 17 (2) (2009)
Kevin D. Ashley
Teaching a process model of legal argument with hypotheticals. Artif. Intell. Law 17 (4) (2009)
Niels Pinkwart, Kevin D. Ashley, Collin F. Lynch, Vincent Aleven
Evaluating an Intelligent Tutoring System for Making Legal Arguments with Hypotheticals. Int. J. Artif. Intell. Educ. 19 (4) (2009)
Collin F. Lynch, Kevin D. Ashley, Niels Pinkwart, Vincent Aleven
Concepts, Structures, and Goals: Redefining Ill-Definedness. Int. J. Artif. Intell. Educ. 19 (3) (2009)
Kevin D. Ashley, Collin F. Lynch, Niels Pinkwart, Vincent Aleven
Toward Modeling and Teaching Legal Case-Based Adaptation with Expert Examples. ICCBR (2009)
Collin F. Lynch, Kevin D. Ashley, Niels Pinkwart, Vincent Aleven
Toward assessing law students' argument diagrams. ICAIL (2009)
Collin F. Lynch, Kevin D. Ashley, Niels Pinkwart, Vincent Aleven
Computational Argument as a Diagnostic Tool: The role of reliability. AAAI Fall Symposium: The Uses of Computational Argumentation (2009)
Collin F. Lynch, Kevin D. Ashley, Niels Pinkwart, Vincent Aleven
Argument Diagramming and Diagnostic Reliability. JURIX (2009)
Kevin D. Ashley
What a Legal CBR Ontology Should Provide. FLAIRS Conference (2009)
Matthias Grabmair, Kevin D. Ashley
Using critical questions to disambiguate and formalize statutory provisions. ICAIL (2009)
Kevin D. Ashley
Ontological requirements for analogical, teleological, and hypothetical legal reasoning. ICAIL (2009)
Niels Pinkwart, Collin F. Lynch, Kevin D. Ashley, Vincent Aleven
Assessing Argument Diagrams in an Ill-defined Domain. AIED (2009)
Niels Pinkwart, Collin F. Lynch, Kevin D. Ashley, Vincent Aleven
Re-evaluating LARGO in the Classroom: Are Diagrams Better Than Text for Teaching Argumentation Skills?. Intelligent Tutoring Systems (2008)
Niels Pinkwart, Kevin D. Ashley, Vincent Aleven, Collin F. Lynch
Graph Grammars: An ITS Technology for Diagram Representations. FLAIRS Conference (2008)
Collin F. Lynch, Kevin D. Ashley, Niels Pinkwart, Vincent Aleven
Argument graph classification with Genetic Programming and C4.5. EDM (2008)
Kevin D. Ashley, Collin F. Lynch, Niels Pinkwart, Vincent Aleven
A Process Model of Legal Argument with Hypotheticals. JURIX (2008)
Kevin D. Ashley
Some Thoughts on Using Computers to Teach Argumentation. FLAIRS Conference (2008)
Kevin D. Ashley, Niels Pinkwart, Collin F. Lynch, Vincent Aleven
Learning by diagramming Supreme Court oral arguments. ICAIL (2007)
Vincent Aleven, Kevin D. Ashley, Collin F. Lynch, Niels Pinkwart
AIED Applications in Ill-Defined Domains. AIED (2007)
Niels Pinkwart, Collin F. Lynch, Kevin D. Ashley, Vincent Aleven
Student's Usage of Multiple Linked Argument Representations in LARGO. Mensch & Computer (2007)
Niels Pinkwart, Vincent Aleven, Kevin D. Ashley, Collin F. Lynch
Evaluating Legal Argument Instruction with Graphical Representations Using LARGO. AIED (2007)
Kevin D. Ashley
Interpretive Reasoning with Hypothetical Cases. FLAIRS Conference (2007)
Niels Pinkwart, Vincent Aleven, Kevin D. Ashley, Collin F. Lynch
Toward Legal Argument Instruction with Graph Grammars and Collaborative Filtering Techniques. Intelligent Tutoring Systems (2006)
Niels Pinkwart, Vincent Aleven, Kevin D. Ashley, Collin F. Lynch
Schwachstellenermittlung und Rückmeldungsprinzipen in einem intelligenten Tutorensystem für juristische Argumentation. DeLFI (2006)
Stefanie Brüninghaus, Kevin D. Ashley
Progress in Textual Case-Based Reasoning: Predicting the Outcome of Legal Cases from Text. AAAI (2006)
Rosina O. Weber, Kevin D. Ashley, Stefanie Brüninghaus
Textual case-based reasoning. Knowl. Eng. Rev. 20 (3) (2005)
Stefanie Brüninghaus, Kevin D. Ashley
Generating Legal Arguments and Predictions from Case Texts. ICAIL (2005)
Vincent Aleven, Kevin D. Ashley, Collin F. Lynch
Helping Law Students to Understand US Supreme Court Oral Arguments: A Planned Experiment. ICAIL (2005)
Stefanie Brüninghaus, Kevin D. Ashley
Reasoning with Textual Cases. ICCBR (2005)
Vincent Aleven, Kevin D. Ashley
Toward supporting hypothesis formation and testing in an interpretive domain. AIED (2005)

Kevin D. Ashley.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Kevin D. Ashley