Kevin D. Ashley

175 papers A* 8A 5B 13C 73Misc 6Journal 39Unranked 24

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	Do LLMs Truly "Understand" when a Precedent Is Overruled? JURIX Li Zhang, Jaromír Savelka, Kevin D. Ashley
2025	J	`jnl`	Do LLMs Truly Understand When a Precedent Is Overruled? CoRR Li Zhang, Jaromír Savelka, Kevin D. Ashley
2025	—	`conf`	Generating Case-Based Legal Arguments with LLMs. CSLAW Morgan A. Gray, Li Zhang, Kevin D. Ashley
2025	C	`conf`	Generating Legal Arguments with Automatically Identified Factor Magnitudes. ICAIL Morgan A. Gray, Jaromír Savelka, Wesley M. Oliver, Kevin D. Ashley
2025	J	`jnl`	How to Improve the Explanatory Power of an Intelligent Textbook: a Case Study in Legal Writing. Int. J. Artif. Intell. Educ. Francesco Sovrano, Kevin D. Ashley, Peter Brusilovsky, Fabio Vitali
2025	C	`conf`	Label-Aware Contextual Retrieval for Few-Shot Legal Argument Mining. JURIX Huihui Xu, Kevin D. Ashley
2025	—	`conf`	Measuring Faithfulness and Abstention: An Automated Pipeline for Evaluating LLM-Generated 3-ply Case-Based Legal Arguments. ASAIL@ICAIL Li Zhang, Morgan A. Gray, Jaromír Savelka, Kevin D. Ashley
2025	J	`jnl`	Measuring Faithfulness and Abstention: An Automated Pipeline for Evaluating LLM-Generated 3-ply Case-Based Legal Arguments. CoRR Li Zhang, Morgan A. Gray, Jaromír Savelka, Kevin D. Ashley
2025	J	`jnl`	Mitigating Manipulation and Enhancing Persuasion: A Reflective Multi-Agent Approach for Legal Argument Generation. CoRR Li Zhang, Kevin D. Ashley
2025	J	`jnl`	Thinking Longer, Not Always Smarter: Evaluating LLM Capabilities in Hierarchical Legal Reasoning. CoRR Li Zhang, Matthias Grabmair, Morgan A. Gray, Kevin D. Ashley
2024	J	`jnl`	Towards Supporting Legal Argumentation with NLP: Is More Data Really All You Need? CoRR T. Y. S. S. Santosh, Kevin D. Ashley, Katie Atkinson, Matthias Grabmair
2024	C	`conf`	Using LLMs to Discover Legal Factors. JURIX Morgan A. Gray, Jaromír Savelka, Wesley M. Oliver, Kevin D. Ashley
2024	J	`jnl`	Using LLMs to Discover Legal Factors. CoRR Morgan A. Gray, Jaromír Savelka, Wesley M. Oliver, Kevin D. Ashley
2023	C	`conf`	A Question-Answering Approach to Evaluating Legal Summaries. JURIX Huihui Xu, Kevin D. Ashley
2023	—	`conf`	Argumentative Segmentation Enhancement for Legal Summarization. ASAIL@ICAIL Huihui Xu, Kevin D. Ashley
2023	J	`jnl`	Argumentative Segmentation Enhancement for Legal Summarization. CoRR Huihui Xu, Kevin D. Ashley
2023	C	`conf`	Automatic Identification and Empirical Analysis of Legally Relevant Factors. ICAIL Morgan A. Gray, Jaromír Savelka, Wesley M. Oliver, Kevin D. Ashley
2023	C	`conf`	Can GPT Alleviate the Burden of Annotation? JURIX Morgan A. Gray, Jaromír Savelka, Wesley M. Oliver, Kevin D. Ashley
2023	—	`conf`	Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise? ASAIL@ICAIL Jaromír Savelka, Kevin D. Ashley, Morgan A. Gray, Hannes Westermann, Huihui Xu
2023	J	`jnl`	Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise? CoRR Jaromír Savelka, Kevin D. Ashley, Morgan A. Gray, Hannes Westermann, Huihui Xu
2023	—	`conf`	Eliminating Hallucinations: GPT-based Explanatory AI for Intelligent Textbooks and Documentation. iTextbooks@AIED Francesco Sovrano, Kevin D. Ashley, Alberto Bacchelli
2023	J	`jnl`	Explaining Legal Concepts with Augmented Large Language Models (GPT-4). CoRR Jaromír Savelka, Kevin D. Ashley, Morgan A. Gray, Hannes Westermann, Huihui Xu
2023	J	`jnl`	Pervasive Computational Law. IEEE Pervasive Comput. Clement Guitton, Aurelia Tamò-Larrieux, Simon Mayer, Kevin D. Ashley, Matthias Grabmair, Galileo Sartor, Giovanni Sartor, Gijs van Dijck
2023	J	`jnl`	Question-Answering Approach to Evaluate Legal Summaries. CoRR Huihui Xu, Kevin D. Ashley
2023	J	`jnl`	The unreasonable effectiveness of large language models in zero-shot semantic annotation of legal texts. Frontiers Artif. Intell. Jaromír Savelka, Kevin D. Ashley
2022	—	`conf`	An Annotation Schema for the Detection of Social Bias in Legal Text Corpora. iConference (1) Ece Gumusel, Vincent Quirante Malic, Devan Ray Donaldson, Kevin D. Ashley, Xiaozhong Liu
2022	J	`jnl`	Data-Centric Machine Learning in the Legal Domain. CoRR Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
2022	J	`jnl`	Legal information retrieval for understanding statutory terms. Artif. Intell. Law Jaromír Savelka, Kevin D. Ashley
2022	C	`conf`	Multi-Granularity Argument Mining in Legal Texts. JURIX Huihui Xu, Kevin D. Ashley
2022	J	`jnl`	Multi-granularity Argument Mining in Legal Texts. CoRR Huihui Xu, Kevin D. Ashley
2022	J	`jnl`	Thirty years of artificial intelligence and law: the third decade. Artif. Intell. Law Serena Villata, Michal Araszkiewicz, Kevin D. Ashley, Trevor J. M. Bench-Capon, Luther Karl Branting, Jack G. Conrad, Adam Wyner
2022	C	`conf`	Toward Automatically Identifying Legally Relevant Factors. JURIX Morgan A. Gray, Jaromír Savelka, Wesley M. Oliver, Kevin D. Ashley
2022	C	`conf`	Toward an Intelligent Tutoring System for Argument Mining in Legal Texts. JURIX Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
2022	J	`jnl`	Toward an Intelligent Tutoring System for Argument Mining in Legal Texts. CoRR Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
2022	—	`conf`	YAI4Edu: an Explanatory AI to Generate Interactive e-Books for Education. iTextbooks@AIED Francesco Sovrano, Kevin D. Ashley, Peter Brusilovsky, Fabio Vitali
2021	C	`conf`	Accounting for Sentence Position and Legal Domain Sentence Embedding in Learning to Classify Case Sentences. JURIX Huihui Xu, Jaromír Savelka, Kevin D. Ashley
2021	J	`jnl`	Computer-Assisted Creation of Boolean Search Rules for Text Classification in the Legal Domain. CoRR Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
2021	C	`conf`	Data-Centric Machine Learning: Improving Model Performance and Understanding Through Dataset Analysis. JURIX Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
2021	—	`conf`	Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models. EMNLP (Findings) Jaromír Savelka, Kevin D. Ashley
2021	J	`jnl`	Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models. CoRR Jaromír Savelka, Kevin D. Ashley
2021	—	`ed.`	Joint Proceedings of the Workshops on Automated Semantic Analysis of Information in Legal Text (ASAIL 2021) & AI and Intelligent Assistance for Legal Professionals in the Digital Workplace (LegalAIIA 2021) held online in conjunction with 18th International Conference on Artificial Intelligence and Law (ICAIL 2021), São Paolo, Brazil (held online), June 21 & 25, 2021. ASAIL/LegalAIIA@ICAIL Kevin D. Ashley, Katie Atkinson, Luther Karl Branting, Enrico Francesconi, Matthias Grabmair, Vern R. Walker, Bernhard Waltl, Adam Zachary Wyner, Jack G. Conrad, Jeremy Pickens, Jason R. Baron, Hans Henseler, Daniel W. Linna Jr., Jyothi K. Vinjumur
2021	J	`jnl`	Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains. CoRR 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
2021	C	`conf`	Lex Rosetta: transfer of predictive models across languages, jurisdictions, and legal domains. ICAIL 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
2021	J	`jnl`	Sentence Embeddings and High-speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents. CoRR Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
2021	C	`conf`	Toward summarizing case decisions via extracting argument issues, reasons, and conclusions. ICAIL Huihui Xu, Jaromír Savelka, Kevin D. Ashley
2020	—	`conf`	Learning to Rank Sentences for Explaining Statutory Terms. ASAIL@JURIX Jaromír Savelka, Kevin D. Ashley
2020	—	`ed.`	Proceedings of the Fourth Workshop on Automated Semantic Analysis of Information in Legal Text held online in conjunction with the 33rd International Conference on Legal Knowledge and Information Systems, ASAIL@JURIX 2020, December 9, 2020. ASAIL@JURIX Kevin D. Ashley, Katie Atkinson, Luther Karl Branting, Enrico Francesconi, Matthias Grabmair, Vern R. Walker, Bernhard Waltl, Adam Zachary Wyner
2020	C	`conf`	Sentence Embeddings and High-Speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents. JURIX Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
2020	C	`conf`	Using Argument Mining for Legal Text Summarization. JURIX Huihui Xu, Jaromír Savelka, Kevin D. Ashley
2019	C	`conf`	Automatic Summarization of Legal Decisions using Iterative Masking of Predictive Sentences. ICAIL Linwu Zhong, Ziyi Zhong, Zinian Zhao, Siyuan Wang, Kevin D. Ashley, Matthias Grabmair
2019	C	`conf`	Computer-Assisted Creation of Boolean Search Rules for Text Classification in the Legal Domain. JURIX Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
2019	C	`conf`	Improving Sentence Retrieval from Case Law for Statutory Interpretation. ICAIL Jaromír Savelka, Huihui Xu, Kevin D. Ashley
2019	—	`ed.`	Proceedings of the Third Workshop on Automated Semantic Analysis of Information in Legal Texts co-located with the 17th International Conference on Artificial Intelligence and Law (ICAIL 2019), Montreal, QC, Canada, June 21, 2019. ASAIL@ICAIL Kevin D. Ashley, Katie Atkinson, Luther Karl Branting, Enrico Francesconi, Matthias Grabmair, Bernhard Waltl, Vern R. Walker, Adam Zachary Wyner
2019	—	`conf`	Teaching Legal Analytics and AI to Law Students. MIREL@JURIX Kevin D. Ashley
2019	C	`conf`	Using Factors to Predict and Analyze Landlord-Tenant Decisions to Increase Access to Justice. ICAIL Hannes Westermann, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef
2018	—	`ed.`	Proceedings of the Second Workshop on Automated Semantic Analysis of Information in Legal Texts co-located with the 16th International Conference on Artificial Intelligence and Law (ICAIL 2017), London, UK, June 16, 2017. ASAIL@ICAIL Kevin D. Ashley, Katie Atkinson, Luther Karl Branting, Enrico Francesconi, Matthias Grabmair, Marc Lauritsen, Vern R. Walker, Adam Zachary Wyner
2018	C	`conf`	Segmenting U.S. Court Decisions into Functional and Issue Specific Parts. JURIX Jaromír Savelka, Kevin D. Ashley
2017	C	`conf`	Detecting Agent Mentions in U.S. Court Decisions. JURIX Jaromír Savelka, Kevin D. Ashley
2017	—	`ed.`	Proceedings of the 4th Workshop on Argument Mining, ArgMining@EMNLP 2017, Copenhagen, Denmark, September 8, 2017 ArgMining@EMNLP Ivan Habernal, Iryna Gurevych, Kevin D. Ashley, Claire Cardie, Nancy L. Green, Diane J. Litman, Georgios Petasis, Chris Reed, Noam Slonim, Vern R. Walker
2017	J	`jnl`	The Impacts of Domain-General vs. Domain-Specific Diagramming Tools on Writing. Int. J. Artif. Intell. Educ. Brendan Barstow, Lisa Fazio, Jordan Lippman, Mohammad Hassan Falakmasir, Christian D. Schunn, Kevin D. Ashley
2017	C	`conf`	Utilizing Vector Space Models for Identifying Legal Factors from Text. JURIX Mohammad Hassan Falakmasir, Kevin D. Ashley
2016	C	`conf`	Document Ranking with Citation Information and Oversampling Sentence Classification in the LUIMA Framework. JURIX Apoorva Bansal, Zheyuan Bu, Biswajeet Mishra, Silun Wang, Kevin D. Ashley, Matthias Grabmair
2016	—	`conf`	Extracting Case Law Sentences for Argumentation about the Meaning of Statutory Terms. ArgMining@ACL Jaromír Savelka, Kevin D. Ashley
2016	Misc	`conf`	Identifying Thesis Statements in Student Essays: The Class Imbalance Challenge and Resolution. FLAIRS Fattaneh Jabbari, Mohammad Hassan Falakmasir, Kevin D. Ashley
2016	—	`conf`	Impact of Revision Planning on Peer-Reviewed Writing. EDM (Workshops) Alok Baikadi, Christian D. Schunn, Kevin D. Ashley
2015	C	`conf`	Applying an Interactive Machine Learning Approach to Statutory Analysis. JURIX Jaromír Savelka, Gaurav Trivedi, Kevin D. Ashley
2015	B	`conf`	Improving Science Writing in Research Methods Classes Through Computerized Argument Diagramming. CogSci Brendan Barstow, Christian D. Schunn, Lisa Fazio, Mohammad Hassan Falakmasir, Kevin D. Ashley
2015	C	`conf`	Introducing LUIMA: an experiment in legal conceptual retrieval of vaccine injury decisions using a UIMA type system and tools. ICAIL Matthias Grabmair, Kevin D. Ashley, Ran Chen, Preethi Sureshkumar, Chen Wang, Eric Nyberg, Vern R. Walker
2015	C	`conf`	Transfer of predictive models for classification of statutory texts in multi-jurisdictional settings. ICAIL Jaromír Savelka, Kevin D. Ashley
2015	B	`conf`	Understanding Revision Planning in Peer-Reviewed Writing. EDM Alok Baikadi, Christian Schunn, Kevin D. Ashley
2015	J	`jnl`	Validity and Reliability of an Instrument for Assessing Case Analyses in Bioengineering Ethics Education. Sci. Eng. Ethics Ilya M. Goldin, Rosa Lynn Pinkus, Kevin D. Ashley
2014	—	`conf`	Applying Argument Extraction to Improve Legal Information Retrieval. ArgNLP Kevin D. Ashley
2014	B	`conf`	Can Diagrams Predict Essay Grades? Intelligent Tutoring Systems Collin F. Lynch, Kevin D. Ashley, Min Chi
2014	B	`conf`	Empirically Valid Rules for Ill-Defined Domains. EDM Collin F. Lynch, Kevin D. Ashley
2014	B	`conf`	Identifying Thesis and Conclusion Statements in Student Essays to Scaffold Peer Review. Intelligent Tutoring Systems Mohammad Hassan Falakmasir, Kevin D. Ashley, Christian D. Schunn, Diane J. Litman
2014	B	`conf`	Matching Hypothesis Text in Diagrams and Essays. EDM Collin F. Lynch, Mohammad Hassan Falakmasir, Kevin D. Ashley
2014	C	`conf`	Mining Information from Statutory Texts in Multi-Jurisdictional Settings. JURIX Jaromír Savelka, Matthias Grabmair, Kevin D. Ashley
2013	C	`conf`	From Information Retrieval (IR) to Argument Retrieval (AR) for Legal Cases: Report on a Baseline Study. JURIX Kevin D. Ashley, Vern R. Walker
2013	C	`ed.`	Legal Knowledge and Information Systems - JURIX 2013: The Twenty-Sixth Annual Conference, December 11-13, 2013, University of Bologna, Italy JURIX Kevin D. Ashley
2013	C	`conf`	Toward constructing evidence-based legal arguments using legal decision documents and machine learning. ICAIL Kevin D. Ashley, Vern R. Walker
2013	—	`conf`	Using Argument Diagramming to Improve Peer Grading of Writing Assignments. AIED Workshops Mohammad Hassan Falakmasir, Kevin D. Ashley, Christian D. Schunn
2013	C	`conf`	Using event progression to enhance purposive argumentation in the value judgment formalism. ICAIL Matthias Grabmair, Kevin D. Ashley
2012	J	`jnl`	A history of AI and Law in 50 papers: 25 years of the international conference on AI and Law. Artif. Intell. Law 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
2012	C	`conf`	Comparing Argument Diagrams. JURIX Collin F. Lynch, Kevin D. Ashley, Mohammad Hassan Falakmasir
2011	C	`conf`	Can temporal representation and reasoning make a difference in automated legal reasoning?: lessons from an AI-based ethical reasoner. ICAIL Bruce M. McLaren, Kevin D. Ashley
2011	C	`conf`	Facilitating case comparison using value judgments and intermediate legal concepts. ICAIL Matthias Grabmair, Kevin D. Ashley
2011	A	`conf`	Peering Inside Peer Review with Bayesian Models. AIED Ilya M. Goldin, Kevin D. Ashley
2011	C	`ed.`	The 13th International Conference on Artificial Intelligence and Law, Proceedings of the Conference, June 6-10, 2011, Pittsburgh, PA, USA ICAIL Kevin D. Ashley, Tom M. van Engers
2011	—	`ch.`	The Case-Based Reasoning Approach: Ontologies for Analogical Legal Argument. Approaches to Legal Ontologies Kevin D. Ashley
2011	C	`conf`	Toward AI-enhanced Computer-supported Peer Review in Legal Education. JURIX Kevin D. Ashley, Ilya M. Goldin
2011	C	`conf`	Toward Extracting Information from Public Health Statutes using Text Classification Machine Learning. JURIX Matthias Grabmair, Kevin D. Ashley, Rebecca Hwa, Patricia M. Sweeney
2010	C	`conf`	Argumentation with Value Judgments - An Example of Hypothetical Reasoning. JURIX Matthias Grabmair, Kevin D. Ashley
2010	B	`conf`	Eliciting Informative Feedback in Peer Review: Importance of Problem-Specific Scaffolding. Intelligent Tutoring Systems (1) Ilya M. Goldin, Kevin D. Ashley
2010	J	`jnl`	Emerging AI & Law approaches to automating analysis and retrieval of electronically stored information in discovery proceedings. Artif. Intell. Law Kevin D. Ashley, Will Bridewell
2009	C	`conf`	Argument Diagramming and Diagnostic Reliability. JURIX Collin F. Lynch, Kevin D. Ashley, Niels Pinkwart, Vincent Aleven
2009	A	`conf`	Assessing Argument Diagrams in an Ill-defined Domain. AIED Niels Pinkwart, Collin F. Lynch, Kevin D. Ashley, Vincent Aleven
2009	J	`jnl`	Automatically classifying case texts and predicting outcomes. Artif. Intell. Law Kevin D. Ashley, Stefanie Brüninghaus
2009	—	`conf`	Computational Argument as a Diagnostic Tool: The role of reliability. AAAI Fall Symposium: The Uses of Computational Argumentation Collin F. Lynch, Kevin D. Ashley, Niels Pinkwart, Vincent Aleven
2009	J	`jnl`	Concepts, Structures, and Goals: Redefining Ill-Definedness. Int. J. Artif. Intell. Educ. Collin F. Lynch, Kevin D. Ashley, Niels Pinkwart, Vincent Aleven
2009	J	`jnl`	Evaluating an Intelligent Tutoring System for Making Legal Arguments with Hypotheticals. Int. J. Artif. Intell. Educ. Niels Pinkwart, Kevin D. Ashley, Collin F. Lynch, Vincent Aleven
2009	C	`conf`	Ontological requirements for analogical, teleological, and hypothetical legal reasoning. ICAIL Kevin D. Ashley
2009	J	`jnl`	Teaching a process model of legal argument with hypotheticals. Artif. Intell. Law Kevin D. Ashley
2009	C	`conf`	Toward Modeling and Teaching Legal Case-Based Adaptation with Expert Examples. ICCBR Kevin D. Ashley, Collin F. Lynch, Niels Pinkwart, Vincent Aleven
2009	C	`conf`	Toward assessing law students' argument diagrams. ICAIL Collin F. Lynch, Kevin D. Ashley, Niels Pinkwart, Vincent Aleven
2009	C	`conf`	Using critical questions to disambiguate and formalize statutory provisions. ICAIL Matthias Grabmair, Kevin D. Ashley
2009	Misc	`conf`	What a Legal CBR Ontology Should Provide. FLAIRS Kevin D. Ashley
2008	C	`conf`	A Process Model of Legal Argument with Hypotheticals. JURIX Kevin D. Ashley, Collin F. Lynch, Niels Pinkwart, Vincent Aleven
2008	B	`conf`	Argument graph classification with Genetic Programming and C4.5. EDM Collin F. Lynch, Kevin D. Ashley, Niels Pinkwart, Vincent Aleven
2008	Misc	`conf`	Graph Grammars: An ITS Technology for Diagram Representations. FLAIRS Niels Pinkwart, Kevin D. Ashley, Vincent Aleven, Collin F. Lynch
2008	B	`conf`	Re-evaluating LARGO in the Classroom: Are Diagrams Better Than Text for Teaching Argumentation Skills?. Intelligent Tutoring Systems Niels Pinkwart, Collin F. Lynch, Kevin D. Ashley, Vincent Aleven
2008	Misc	`conf`	Some Thoughts on Using Computers to Teach Argumentation. FLAIRS Kevin D. Ashley
2007	A	`conf`	AIED Applications in Ill-Defined Domains. AIED Vincent Aleven, Kevin D. Ashley, Collin F. Lynch, Niels Pinkwart
2007	A	`conf`	Evaluating Legal Argument Instruction with Graphical Representations Using LARGO. AIED Niels Pinkwart, Vincent Aleven, Kevin D. Ashley, Collin F. Lynch
2007	Misc	`conf`	Interpretive Reasoning with Hypothetical Cases. FLAIRS Kevin D. Ashley
2007	C	`conf`	Learning by diagramming Supreme Court oral arguments. ICAIL Kevin D. Ashley, Niels Pinkwart, Collin F. Lynch, Vincent Aleven
2007	Misc	`conf`	Student's Usage of Multiple Linked Argument Representations in LARGO. MuC Niels Pinkwart, Collin F. Lynch, Kevin D. Ashley, Vincent Aleven
2006	B	`ed.`	Intelligent Tutoring Systems, 8th International Conference, ITS 2006, Jhongli, Taiwan, June 26-30, 2006, Proceedings Intelligent Tutoring Systems Mitsuru Ikeda, Kevin D. Ashley, Tak-Wai Chan
2006	A*	`conf`	Progress in Textual Case-Based Reasoning: Predicting the Outcome of Legal Cases from Text. AAAI Stefanie Brüninghaus, Kevin D. Ashley
2006	—	`conf`	Schwachstellenermittlung und Rückmeldungsprinzipen in einem intelligenten Tutorensystem für juristische Argumentation. DeLFI Niels Pinkwart, Vincent Aleven, Kevin D. Ashley, Collin F. Lynch
2006	B	`conf`	Toward Legal Argument Instruction with Graph Grammars and Collaborative Filtering Techniques. Intelligent Tutoring Systems Niels Pinkwart, Vincent Aleven, Kevin D. Ashley, Collin F. Lynch
2005	J	`jnl`	Case-based reasoning and law. Knowl. Eng. Rev. Edwina L. Rissland, Kevin D. Ashley, Karl Branting
2005	C	`conf`	Generating Legal Arguments and Predictions from Case Texts. ICAIL Stefanie Brüninghaus, Kevin D. Ashley
2005	C	`conf`	Helping Law Students to Understand US Supreme Court Oral Arguments: A Planned Experiment. ICAIL Vincent Aleven, Kevin D. Ashley, Collin F. Lynch
2005	C	`conf`	Reasoning with Textual Cases. ICCBR Stefanie Brüninghaus, Kevin D. Ashley
2005	J	`jnl`	Textual case-based reasoning. Knowl. Eng. Rev. Rosina O. Weber, Kevin D. Ashley, Stefanie Brüninghaus
2005	A	`conf`	Toward supporting hypothesis formation and testing in an interpretive domain. AIED Vincent Aleven, Kevin D. Ashley
2005	C	`conf`	Towards Modeling Systematic Interpretation of Codified Law. JURIX Matthias Grabmair, Kevin D. Ashley
2003	J	`jnl`	AI and Law: A fruitful synergy. Artif. Intell. Edwina L. Rissland, Kevin D. Ashley, Ronald Prescott Loui
2003	C	`ed.`	Case-Based Reasoning Research and Development, 5th International Conference on Case-Based Reasoning, ICCBR 2003, Trondheim, Norway, June 23-26, 2003, Proceedings ICCBR Kevin D. Ashley, Derek G. Bridge
2003	C	`conf`	Combining Case-Based and Model-Based Reasoning for Predicting the Outcome of Legal Cases. ICCBR Stefanie Brüninghaus, Kevin D. Ashley
2003	—	`conf`	Experimental Design for Evaluating an AI and Law Program. Evaluation of Legal Reasoning and Problem-Solving Systems Stefanie Brüninghaus, Kevin D. Ashley
2003	J	`jnl`	Law, learning and representation. Artif. Intell. Kevin D. Ashley, Edwina L. Rissland
2003	C	`conf`	Predicting Outcomes of Case-Based Legal Arguments. ICAIL Stefanie Brüninghaus, Kevin D. Ashley
2002	J	`jnl`	A note on dimensions and factors. Artif. Intell. Law Edwina L. Rissland, Kevin D. Ashley
2002	J	`jnl`	An AI model of case-based legal argument from a jurisprudential viewpoint. Artif. Intell. Law Kevin D. Ashley
2002	B	`conf`	Teaching Case-Based Argumentation Concepts Using Dialectic Arguments vs. Didactic Explanations. Intelligent Tutoring Systems Kevin D. Ashley, Ravi Desai, John M. Levine
2001	C	`conf`	An AI investigation of citation's cognitive role. ICAIL Kevin D. Ashley, Bruce M. McLaren
2001	C	`conf`	Helping a CBR Program Know What It Knows. ICCBR Bruce M. McLaren, Kevin D. Ashley
2001	C	`conf`	Improving the representation of legal case texts with information extraction methods. ICAIL Stefanie Brüninghaus, Kevin D. Ashley
2001	C	`conf`	Introducing PETE: computer support for teaching ethics. ICAIL Ilya M. Goldin, Kevin D. Ashley, Rosa Lynn Pinkus
2001	C	`conf`	The Role of Information Extraction for Textual CBR. ICCBR Stefanie Brüninghaus, Kevin D. Ashley
2000	—	`conf`	Assessing Relevance with Extensionally Defined Principles and Cases. AAAI/IAAI Bruce M. McLaren, Kevin D. Ashley
1999	C	`conf`	Bootstrapping Case Base Development with Annotated Case Summaries. ICCBR Stefanie Brüninghaus, Kevin D. Ashley
1999	C	`conf`	Case Representation, Acquisition, and Retrieval in SIROCCO. ICCBR Bruce M. McLaren, Kevin D. Ashley
1999	C	`conf`	Toward adding knowledge to learning algorithms for indexing legal cases. ICAIL Stefanie Brüninghaus, Kevin D. Ashley
1998	—	`conf`	Exploring the Dialectic Between Abstract Rules and Concrete Facts: Operationalizing Principles and Cases in Engineering Ethics. EWCBR Bruce M. McLaren, Kevin D. Ashley
1997	C	`conf`	Evaluating a Learning Environment for Case-Based Argumentation Skills. ICAIL Vincent Aleven, Kevin D. Ashley
1997	C	`conf`	Finding Factors: Learning to Classify Case Opinions Under Abstract Fact Categories. ICAIL Stefanie Brüninghaus, Kevin D. Ashley
1997	—	`conf`	Reasoning Symbolically About Partially Matched Cases. IJCAI (1) Kevin D. Ashley, Vincent Aleven
1997	C	`conf`	Using Machine Learning for Assigning Indices to Textual Cases. ICCBR Stefanie Brüninghaus, Kevin D. Ashley
1996	—	`conf`	How Different Is Different? Arguing About the Significance of Similarities and Differences. EWCBR Vincent Aleven, Kevin D. Ashley
1995	C	`conf`	Context Sensitive Case Comparisons in Practical Ethics: Reasoning About Reasons. ICAIL Bruce M. McLaren, Kevin D. Ashley
1995	C	`conf`	Doing Things with Factors. ICAIL Vincent Aleven, Kevin D. Ashley
1995	C	`conf`	Reasoning with Reasons in Case-Based Comparisons. ICCBR Kevin D. Ashley, Bruce M. McLaren
1994	—	`conf`	A CBR Knowledge Representation for Practical Ethics. EWCBR Kevin D. Ashley, Bruce M. McLaren
1994	A*	`conf`	An Instructional Environment for Practicing Argumentation Skills. AAAI Vincent Aleven, Kevin D. Ashley
1993	—	`conf`	A Logical Representation for Relevance Criteria. EWCBR Kevin D. Ashley, Vincent Aleven
1993	C	`ed.`	Proceedings of the Fourth International Conference on Artificial intelligence and Law, ICAIL '93, Amsterdam, The Netherlands, June 15-18, 1993 ICAIL Anja Oskamp, Kevin D. Ashley
1993	C	`conf`	What Law Students Need to Know to WIN. ICAIL Vincent Aleven, Kevin D. Ashley
1992	B	`conf`	Automated Generation of Examples for a Tutorial in Case-Based Argumentation. Intelligent Tutoring Systems Vincent Aleven, Kevin D. Ashley
1992	J	`jnl`	Case-based reasoning and its implications for legal expert systems. Artif. Intell. Law Kevin D. Ashley
1992	A*	`conf`	Generating Dialectical Examples Automatically. AAAI Kevin D. Ashley, Vincent Aleven
1991	J	`jnl`	Reasoning with Cases and Hypotheticals in HYPO. Int. J. Man Mach. Stud. Kevin D. Ashley
1991	C	`conf`	Toward an Intelligent Tutoring System for Teaching Law Students to Argue with Cases. ICAIL Kevin D. Ashley, Vincent Aleven
1990	—	`book`	Modeling legal argument - reasoning with cases and hypotheticals. Kevin D. Ashley
1989	A*	`conf`	Defining Salience in Case-Based Arguments. IJCAI Kevin D. Ashley
1989	C	`conf`	Toward a Computational Theory of Arguing with Precedents. ICAIL Kevin D. Ashley
1988	J	`jnl`	A Case-Based Approach to Modeling Legal Expertise. IEEE Expert Kevin D. Ashley, Edwina L. Rissland
1988	A*	`conf`	Waiting on Weighting: A Symbolic Least Commitment Approach. AAAI Kevin D. Ashley, Edwina L. Rissland
1987	C	`conf`	A Case-Based System for Trade Secrets Law. ICAIL Edwina L. Rissland, Kevin D. Ashley
1987	C	`conf`	But, See, Accord: Generating Blue Book Citations in HYPO. ICAIL Kevin D. Ashley, Edwina L. Rissland
1987	A*	`conf`	Compare and Contrast: A Test of Expertise. AAAI Kevin D. Ashley, Edwina L. Rissland
1986	A*	`conf`	Hypotheticals as Heuristic Device. AAAI Edwina L. Rissland, Kevin D. Ashley
1986	—	`conf`	Hypotheticals as Heuristic Device. HLT Edwina L. Rissland, Kevin D. Ashley
1984	A*	`conf`	Explaining and Arguing With Examples. AAAI Edwina L. Rissland, Eduardo M. Valcarce, Kevin D. Ashley