| 2025 | ICAIL | Generating Legal Arguments with Automatically Identified Factor Magnitudes. | Morgan A. Gray, Jaromr Savelka, Wesley M. Oliver, Kevin D. Ashley |
| 2025 | ICAIL | Measuring Faithfulness and Abstention: An Automated Pipeline for Evaluating LLM-Generated 3-ply Case-Based Legal Arguments. | Li Zhang, Morgan A. Gray, Jaromr Savelka, Kevin D. Ashley |
| 2025 | JURIX | Label-Aware Contextual Retrieval for Few-Shot Legal Argument Mining. | Huihui Xu, Kevin D. Ashley |
| 2025 | JURIX | Do LLMs Truly "Understand" when a Precedent Is Overruled? | Li Zhang, Jaromr Savelka, Kevin D. Ashley |
| 2024 | JURIX | Using LLMs to Discover Legal Factors. | Morgan A. Gray, Jaromr Savelka, Wesley M. Oliver, Kevin D. Ashley |
| 2023 | AIED | Eliminating Hallucinations: GPT-based Explanatory AI for Intelligent Textbooks and Documentation. | Francesco Sovrano, Kevin D. Ashley, Alberto Bacchelli |
| 2023 | ICAIL | Automatic Identification and Empirical Analysis of Legally Relevant Factors. | Morgan A. Gray, Jaromr Savelka, Wesley M. Oliver, Kevin D. Ashley |
| 2023 | ICAIL | Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise? | Jaromr Savelka, Kevin D. Ashley, Morgan A. Gray, Hannes Westermann, Huihui Xu |
| 2023 | ICAIL | Argumentative Segmentation Enhancement for Legal Summarization. | Huihui Xu, Kevin D. Ashley |
| 2023 | JURIX | Can GPT Alleviate the Burden of Annotation? | Morgan A. Gray, Jaromr Savelka, Wesley M. Oliver, Kevin D. Ashley |
| 2023 | JURIX | A Question-Answering Approach to Evaluating Legal Summaries. | Huihui Xu, Kevin D. Ashley |
| 2022 | AIED | YAI4Edu: an Explanatory AI to Generate Interactive e-Books for Education. | Francesco Sovrano, Kevin D. Ashley, Peter Brusilovsky, Fabio Vitali |
| 2022 | JURIX | Toward Automatically Identifying Legally Relevant Factors. | Morgan A. Gray, Jaromr Savelka, Wesley M. Oliver, Kevin D. Ashley |
| 2022 | JURIX | Toward an Intelligent Tutoring System for Argument Mining in Legal Texts. | Hannes Westermann, Jaromr Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef |
| 2022 | JURIX | Multi-Granularity Argument Mining in Legal Texts. | Huihui Xu, Kevin D. Ashley |
| 2021 | EMNLP | Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models. | Jaromr Savelka, Kevin D. Ashley |
| 2021 | ICAIL | Lex Rosetta: transfer of predictive models across languages, jurisdictions, and legal domains. | Jaromr Savelka, Hannes Westermann, Karim Benyekhlef, Charlotte S. Alexander, Jayla C. Grant, David Restrepo Amariles, Rajaa El Hamdani, Sbastien Mees, Aurore Clment Troussel, Michal Araszkiewicz, Kevin D. Ashley, Alexandra Ashley, Karl Branting, Mattia Falduti, Matthias Grabmair, Jakub Harasta, Tereza Novotn, Elizabeth Tippett, Shiwanni Johnson |
| 2021 | ICAIL | Toward summarizing case decisions via extracting argument issues, reasons, and conclusions. | Huihui Xu, Jaromr Savelka, Kevin D. Ashley |
| 2021 | JURIX | Data-Centric Machine Learning: Improving Model Performance and Understanding Through Dataset Analysis. | Hannes Westermann, Jaromr Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef |
| 2021 | JURIX | Accounting for Sentence Position and Legal Domain Sentence Embedding in Learning to Classify Case Sentences. | Huihui Xu, Jaromr Savelka, Kevin D. Ashley |
| 2020 | JURIX | Learning to Rank Sentences for Explaining Statutory Terms. | Jaromr Savelka, Kevin D. Ashley |
| 2020 | JURIX | Sentence Embeddings and High-Speed Similarity Search for Fast Computer Assisted Annotation of Legal Documents. | Hannes Westermann, Jaromr Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef |
| 2020 | JURIX | Using Argument Mining for Legal Text Summarization. | Huihui Xu, Jaromr Savelka, Kevin D. Ashley |
| 2019 | ICAIL | Improving Sentence Retrieval from Case Law for Statutory Interpretation. | Jaromr Savelka, Huihui Xu, Kevin D. Ashley |
| 2019 | ICAIL | Using Factors to Predict and Analyze Landlord-Tenant Decisions to Increase Access to Justice. | Hannes Westermann, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef |
| 2019 | ICAIL | Automatic Summarization of Legal Decisions using Iterative Masking of Predictive Sentences. | Linwu Zhong, Ziyi Zhong, Zinian Zhao, Siyuan Wang, Kevin D. Ashley, Matthias Grabmair |
| 2019 | JURIX | Teaching Legal Analytics and AI to Law Students. | Kevin D. Ashley |
| 2019 | JURIX | Computer-Assisted Creation of Boolean Search Rules for Text Classification in the Legal Domain. | Hannes Westermann, Jaromr Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef |
| 2018 | JURIX | Segmenting U.S. Court Decisions into Functional and Issue Specific Parts. | Jaromr Savelka, Kevin D. Ashley |
| 2017 | JURIX | Utilizing Vector Space Models for Identifying Legal Factors from Text. | Mohammad Hassan Falakmasir, Kevin D. Ashley |
| 2017 | JURIX | Detecting Agent Mentions in U.S. Court Decisions. | Jaromr Savelka, Kevin D. Ashley |
| 2016 | ACL | Extracting Case Law Sentences for Argumentation about the Meaning of Statutory Terms. | Jaromr Savelka, Kevin D. Ashley |
| 2016 | EDM | Impact of Revision Planning on Peer-Reviewed Writing. | Alok Baikadi, Christian D. Schunn, Kevin D. Ashley |
| 2016 | FlAIRS | Identifying Thesis Statements in Student Essays: The Class Imbalance Challenge and Resolution. | Fattaneh Jabbari, Mohammad Hassan Falakmasir, Kevin D. Ashley |
| 2016 | JURIX | Document Ranking with Citation Information and Oversampling Sentence Classification in the LUIMA Framework. | Apoorva Bansal, Zheyuan Bu, Biswajeet Mishra, Silun Wang, Kevin D. Ashley, Matthias Grabmair |
| 2015 | CogSci | Improving Science Writing in Research Methods Classes Through Computerized Argument Diagramming. | Brendan Barstow, Christian D. Schunn, Lisa Fazio, Mohammad Hassan Falakmasir, Kevin D. Ashley |
| 2015 | EDM | Understanding Revision Planning in Peer-Reviewed Writing. | Alok Baikadi, Christian Schunn, Kevin D. Ashley |
| 2015 | ICAIL | Introducing LUIMA: an experiment in legal conceptual retrieval of vaccine injury decisions using a UIMA type system and tools. | Matthias Grabmair, Kevin D. Ashley, Ran Chen, Preethi Sureshkumar, Chen Wang, Eric Nyberg, Vern R. Walker |
| 2015 | ICAIL | Transfer of predictive models for classification of statutory texts in multi-jurisdictional settings. | Jaromr Savelka, Kevin D. Ashley |
| 2015 | JURIX | Applying an Interactive Machine Learning Approach to Statutory Analysis. | Jaromr Savelka, Gaurav Trivedi, Kevin D. Ashley |
| 2014 | EDM | Empirically Valid Rules for Ill-Defined Domains. | Collin F. Lynch, Kevin D. Ashley |
| 2014 | EDM | Matching Hypothesis Text in Diagrams and Essays. | Collin F. Lynch, Mohammad Hassan Falakmasir, Kevin D. Ashley |
| 2014 | ITS | Identifying Thesis and Conclusion Statements in Student Essays to Scaffold Peer Review. | Mohammad Hassan Falakmasir, Kevin D. Ashley, Christian D. Schunn, Diane J. Litman |
| 2014 | ITS | Can Diagrams Predict Essay Grades? | Collin F. Lynch, Kevin D. Ashley, Min Chi |
| 2014 | JURIX | Mining Information from Statutory Texts in Multi-Jurisdictional Settings. | Jaromr Savelka, Matthias Grabmair, Kevin D. Ashley |
| 2013 | AIED | Using Argument Diagramming to Improve Peer Grading of Writing Assignments. | Mohammad Hassan Falakmasir, Kevin D. Ashley, Christian D. Schunn |
| 2013 | ICAIL | Toward constructing evidence-based legal arguments using legal decision documents and machine learning. | Kevin D. Ashley, Vern R. Walker |
| 2013 | ICAIL | Using event progression to enhance purposive argumentation in the value judgment formalism. | Matthias Grabmair, Kevin D. Ashley |
| 2013 | JURIX | From Information Retrieval (IR) to Argument Retrieval (AR) for Legal Cases: Report on a Baseline Study. | Kevin D. Ashley, Vern R. Walker |
| 2012 | JURIX | Comparing Argument Diagrams. | Collin F. Lynch, Kevin D. Ashley, Mohammad Hassan Falakmasir |
| 2011 | AIED | Peering Inside Peer Review with Bayesian Models. | Ilya M. Goldin, Kevin D. Ashley |
| 2011 | ICAIL | Facilitating case comparison using value judgments and intermediate legal concepts. | Matthias Grabmair, Kevin D. Ashley |
| 2011 | ICAIL | Can temporal representation and reasoning make a difference in automated legal reasoning?: lessons from an AI-based ethical reasoner. | Bruce M. McLaren, Kevin D. Ashley |
| 2011 | JURIX | Toward AI-enhanced Computer-supported Peer Review in Legal Education. | Kevin D. Ashley, Ilya M. Goldin |
| 2011 | JURIX | Toward Extracting Information from Public Health Statutes using Text Classification Machine Learning. | Matthias Grabmair, Kevin D. Ashley, Rebecca Hwa, Patricia M. Sweeney |
| 2010 | ITS | Eliciting Informative Feedback in Peer Review: Importance of Problem-Specific Scaffolding. | Ilya M. Goldin, Kevin D. Ashley |
| 2010 | JURIX | Argumentation with Value Judgments - An Example of Hypothetical Reasoning. | Matthias Grabmair, Kevin D. Ashley |
| 2009 | AIED | Assessing Argument Diagrams in an Ill-defined Domain. | Niels Pinkwart, Collin F. Lynch, Kevin D. Ashley, Vincent Aleven |
| 2009 | FlAIRS | What a Legal CBR Ontology Should Provide. | Kevin D. Ashley |
| 2009 | ICAIL | Ontological requirements for analogical, teleological, and hypothetical legal reasoning. | Kevin D. Ashley |
| 2009 | ICAIL | Using critical questions to disambiguate and formalize statutory provisions. | Matthias Grabmair, Kevin D. Ashley |
| 2009 | ICAIL | Toward assessing law students' argument diagrams. | Collin F. Lynch, Kevin D. Ashley, Niels Pinkwart, Vincent Aleven |
| 2009 | ICCBR | Toward Modeling and Teaching Legal Case-Based Adaptation with Expert Examples. | Kevin D. Ashley, Collin F. Lynch, Niels Pinkwart, Vincent Aleven |
| 2009 | JURIX | Argument Diagramming and Diagnostic Reliability. | Collin F. Lynch, Kevin D. Ashley, Niels Pinkwart, Vincent Aleven |
| 2008 | EDM | Argument graph classification with Genetic Programming and C4.5. | Collin F. Lynch, Kevin D. Ashley, Niels Pinkwart, Vincent Aleven |
| 2008 | FlAIRS | Some Thoughts on Using Computers to Teach Argumentation. | Kevin D. Ashley |
| 2008 | FlAIRS | Graph Grammars: An ITS Technology for Diagram Representations. | Niels Pinkwart, Kevin D. Ashley, Vincent Aleven, Collin F. Lynch |
| 2008 | ITS | Re-evaluating LARGO in the Classroom: Are Diagrams Better Than Text for Teaching Argumentation Skills?. | Niels Pinkwart, Collin F. Lynch, Kevin D. Ashley, Vincent Aleven |
| 2008 | JURIX | A Process Model of Legal Argument with Hypotheticals. | Kevin D. Ashley, Collin F. Lynch, Niels Pinkwart, Vincent Aleven |
| 2007 | AIED | AIED Applications in Ill-Defined Domains. | Vincent Aleven, Kevin D. Ashley, Collin F. Lynch, Niels Pinkwart |
| 2007 | AIED | Evaluating Legal Argument Instruction with Graphical Representations Using LARGO. | Niels Pinkwart, Vincent Aleven, Kevin D. Ashley, Collin F. Lynch |
| 2007 | FlAIRS | Interpretive Reasoning with Hypothetical Cases. | Kevin D. Ashley |
| 2007 | ICAIL | Learning by diagramming Supreme Court oral arguments. | Kevin D. Ashley, Niels Pinkwart, Collin F. Lynch, Vincent Aleven |
| 2006 | AAAI | Progress in Textual Case-Based Reasoning: Predicting the Outcome of Legal Cases from Text. | Stefanie Brninghaus, Kevin D. Ashley |
| 2006 | ITS | Toward Legal Argument Instruction with Graph Grammars and Collaborative Filtering Techniques. | Niels Pinkwart, Vincent Aleven, Kevin D. Ashley, Collin F. Lynch |
| 2005 | AIED | Toward supporting hypothesis formation and testing in an interpretive domain. | Vincent Aleven, Kevin D. Ashley |
| 2005 | ICAIL | Helping Law Students to Understand US Supreme Court Oral Arguments: A Planned Experiment. | Vincent Aleven, Kevin D. Ashley, Collin F. Lynch |
| 2005 | ICAIL | Generating Legal Arguments and Predictions from Case Texts. | Stefanie Brninghaus, Kevin D. Ashley |
| 2005 | ICCBR | Reasoning with Textual Cases. | Stefanie Brninghaus, Kevin D. Ashley |
| 2005 | JURIX | Towards Modeling Systematic Interpretation of Codified Law. | Matthias Grabmair, Kevin D. Ashley |
| 2003 | ICAIL | Predicting Outcomes of Case-Based Legal Arguments. | Stefanie Brninghaus, Kevin D. Ashley |
| 2003 | ICAIL | Experimental Design for Evaluating an AI and Law Program. | Stefanie Brninghaus, Kevin D. Ashley |
| 2003 | ICCBR | Combining Case-Based and Model-Based Reasoning for Predicting the Outcome of Legal Cases. | Stefanie Brninghaus, Kevin D. Ashley |
| 2002 | ITS | Teaching Case-Based Argumentation Concepts Using Dialectic Arguments vs. Didactic Explanations. | Kevin D. Ashley, Ravi Desai, John M. Levine |
| 2001 | ICAIL | An AI investigation of citation's cognitive role. | Kevin D. Ashley, Bruce M. McLaren |
| 2001 | ICAIL | Improving the representation of legal case texts with information extraction methods. | Stefanie Brninghaus, Kevin D. Ashley |
| 2001 | ICAIL | Introducing PETE: computer support for teaching ethics. | Ilya M. Goldin, Kevin D. Ashley, Rosa Lynn Pinkus |
| 2001 | ICCBR | The Role of Information Extraction for Textual CBR. | Stefanie Brninghaus, Kevin D. Ashley |
| 2001 | ICCBR | Helping a CBR Program Know What It Knows. | Bruce M. McLaren, Kevin D. Ashley |
| 2000 | AAAI | Assessing Relevance with Extensionally Defined Principles and Cases. | Bruce M. McLaren, Kevin D. Ashley |
| 1999 | ICAIL | Toward adding knowledge to learning algorithms for indexing legal cases. | Stefanie Brninghaus, Kevin D. Ashley |
| 1999 | ICCBR | Bootstrapping Case Base Development with Annotated Case Summaries. | Stefanie Brninghaus, Kevin D. Ashley |
| 1999 | ICCBR | Case Representation, Acquisition, and Retrieval in SIROCCO. | Bruce M. McLaren, Kevin D. Ashley |
| 1997 | ICAIL | Evaluating a Learning Environment for Case-Based Argumentation Skills. | Vincent Aleven, Kevin D. Ashley |
| 1997 | ICAIL | Finding Factors: Learning to Classify Case Opinions Under Abstract Fact Categories. | Stefanie Brninghaus, Kevin D. Ashley |
| 1997 | ICCBR | Using Machine Learning for Assigning Indices to Textual Cases. | Stefanie Brninghaus, Kevin D. Ashley |
| 1997 | IJCAI | Reasoning Symbolically About Partially Matched Cases. | Kevin D. Ashley, Vincent Aleven |
| 1995 | ICAIL | Doing Things with Factors. | Vincent Aleven, Kevin D. Ashley |
| 1995 | ICAIL | Context Sensitive Case Comparisons in Practical Ethics: Reasoning About Reasons. | Bruce M. McLaren, Kevin D. Ashley |
| 1995 | ICCBR | Reasoning with Reasons in Case-Based Comparisons. | Kevin D. Ashley, Bruce M. McLaren |
| 1994 | AAAI | An Instructional Environment for Practicing Argumentation Skills. | Vincent Aleven, Kevin D. Ashley |
| 1993 | ICAIL | What Law Students Need to Know to WIN. | Vincent Aleven, Kevin D. Ashley |
| 1992 | AAAI | Generating Dialectical Examples Automatically. | Kevin D. Ashley, Vincent Aleven |
| 1992 | ITS | Automated Generation of Examples for a Tutorial in Case-Based Argumentation. | Vincent Aleven, Kevin D. Ashley |
| 1991 | ICAIL | Toward an Intelligent Tutoring System for Teaching Law Students to Argue with Cases. | Kevin D. Ashley, Vincent Aleven |
| 1989 | ICAIL | Toward a Computational Theory of Arguing with Precedents. | Kevin D. Ashley |
| 1989 | IJCAI | Defining Salience in Case-Based Arguments. | Kevin D. Ashley |
| 1988 | AAAI | Waiting on Weighting: A Symbolic Least Commitment Approach. | Kevin D. Ashley, Edwina L. Rissland |
| 1987 | AAAI | Compare and Contrast: A Test of Expertise. | Kevin D. Ashley, Edwina L. Rissland |
| 1987 | ICAIL | But, See, Accord: Generating Blue Book Citations in HYPO. | Kevin D. Ashley, Edwina L. Rissland |
| 1987 | ICAIL | A Case-Based System for Trade Secrets Law. | Edwina L. Rissland, Kevin D. Ashley |
| 1986 | AAAI | Hypotheticals as Heuristic Device. | Edwina L. Rissland, Kevin D. Ashley |
| 1984 | AAAI | Explaining and Arguing With Examples. | Edwina L. Rissland, Eduardo M. Valcarce, Kevin D. Ashley |