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ORCIDKevin D. Ashley
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- affiliation: University of Pittsburgh, Pennsylvania, USA
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2020 – today
- 2024
[i13]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 abs/2406.10974 (2024)- [i12]Morgan A. Gray, Jaromír Savelka, Wesley M. Oliver, Kevin D. Ashley:
Using LLMs to Discover Legal Factors. CoRR abs/2410.07504 (2024) - 2023
- [j21]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) - [j20]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): 48-51 (2023) - [c118]Francesco Sovrano, Kevin D. Ashley, Alberto Bacchelli:
Eliminating Hallucinations: GPT-based Explanatory AI for Intelligent Textbooks and Documentation. iTextbooks@AIED 2023: 54-65 - [c117]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: 1-12 - [c116]Morgan A. Gray, Jaromír Savelka, Wesley M. Oliver, Kevin D. Ashley:
Automatic Identification and Empirical Analysis of Legally Relevant Factors. ICAIL 2023: 101-110 - [c115]Huihui Xu, Kevin D. Ashley:
Argumentative Segmentation Enhancement for Legal Summarization. ASAIL@ICAIL 2023: 141-150 - [c114]Morgan A. Gray, Jaromír Savelka, Wesley M. Oliver, Kevin D. Ashley:
Can GPT Alleviate the Burden of Annotation? JURIX 2023: 157-166 - [c113]Huihui Xu, Kevin D. Ashley:
A Question-Answering Approach to Evaluating Legal Summaries. JURIX 2023: 293-298 - [i11]Jaromír Savelka, Kevin D. Ashley, Morgan A. Gray, Hannes Westermann, Huihui Xu:
Explaining Legal Concepts with Augmented Large Language Models (GPT-4). CoRR abs/2306.09525 (2023) - [i10]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 abs/2306.13906 (2023) - [i9]Huihui Xu, Kevin D. Ashley:
Argumentative Segmentation Enhancement for Legal Summarization. CoRR abs/2307.05081 (2023) - [i8]Huihui Xu, Kevin D. Ashley:
Question-Answering Approach to Evaluate Legal Summaries. CoRR abs/2309.15016 (2023) - 2022
- [j19]Jaromír Savelka, Kevin D. Ashley:
Legal information retrieval for understanding statutory terms. Artif. Intell. Law 30(2): 245-289 (2022) - [j18]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): 561-591 (2022) - [c112]Francesco Sovrano, Kevin D. Ashley, Peter Brusilovsky, Fabio Vitali:
YAI4Edu: an Explanatory AI to Generate Interactive e-Books for Education. iTextbooks@AIED 2022: 31-39 - [c111]Ece Gumusel, Vincent Quirante Malic, Devan Ray Donaldson, Kevin D. Ashley, Xiaozhong Liu:
An Annotation Schema for the Detection of Social Bias in Legal Text Corpora. iConference (1) 2022: 185-194 - [c110]Morgan A. Gray, Jaromír Savelka, Wesley M. Oliver, Kevin D. Ashley:
Toward Automatically Identifying Legally Relevant Factors. JURIX 2022: 53-62 - [c109]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: 133-142 - [c108]Huihui Xu, Kevin D. Ashley:
Multi-Granularity Argument Mining in Legal Texts. JURIX 2022: 261-266 - [i7]Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef:
Data-Centric Machine Learning in the Legal Domain. CoRR abs/2201.06653 (2022) - [i6]Huihui Xu, Kevin D. Ashley:
Multi-granularity Argument Mining in Legal Texts. CoRR abs/2210.09472 (2022) - [i5]Hannes Westermann, Jaromír Savelka, Vern R. Walker, Kevin D. Ashley, Karim Benyekhlef:
Toward an Intelligent Tutoring System for Argument Mining in Legal Texts. CoRR abs/2210.13635 (2022) - 2021
- [c107]Jaromír Savelka, Kevin D. Ashley:
Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models. EMNLP (Findings) 2021: 4273-4283 - [c106]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: 129-138 - [c105]Huihui Xu, Jaromír Savelka, Kevin D. Ashley:
Toward summarizing case decisions via extracting argument issues, reasons, and conclusions. ICAIL 2021: 250-254 - [c104]Huihui Xu, Jaromír Savelka, Kevin D. Ashley:
Accounting for Sentence Position and Legal Domain Sentence Embedding in Learning to Classify Case Sentences. JURIX 2021: 33-42 - [c103]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: 54-57 - [e10]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:
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. CEUR Workshop Proceedings 2888, CEUR-WS.org 2021 [contents] - [i4]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 abs/2112.05807 (2021) - [i3]Jaromír Savelka, Kevin D. Ashley:
Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models. CoRR abs/2112.07165 (2021) - [i2]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 abs/2112.07882 (2021) - [i1]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 abs/2112.11494 (2021) - 2020
- [c102]Jaromír Savelka, Kevin D. Ashley:
Learning to Rank Sentences for Explaining Statutory Terms. ASAIL@JURIX 2020 - [c101]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: 164-173 - [c100]Huihui Xu, Jaromír Savelka, Kevin D. Ashley:
Using Argument Mining for Legal Text Summarization. JURIX 2020: 184-193 - [e9]Kevin D. Ashley, Katie Atkinson, Luther Karl Branting, Enrico Francesconi, Matthias Grabmair, Vern R. Walker, Bernhard Waltl, Adam Zachary Wyner:
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. CEUR Workshop Proceedings 2764, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [c99]Jaromír Savelka, Huihui Xu, Kevin D. Ashley:
Improving Sentence Retrieval from Case Law for Statutory Interpretation. ICAIL 2019: 113-122 - [c98]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: 133-142 - [c97]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: 163-172 - [c96]Kevin D. Ashley:
Teaching Legal Analytics and AI to Law Students. MIREL@JURIX 2019 - [c95]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: 123-132 - [e8]Kevin D. Ashley, Katie Atkinson, Luther Karl Branting, Enrico Francesconi, Matthias Grabmair, Bernhard Waltl, Vern R. Walker, Adam Zachary Wyner:
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. CEUR Workshop Proceedings 2385, CEUR-WS.org 2019 [contents] - 2018
- [c94]Jaromír Savelka, Kevin D. Ashley:
Segmenting U.S. Court Decisions into Functional and Issue Specific Parts. JURIX 2018: 111-120 - [e7]Kevin D. Ashley, Katie Atkinson, Luther Karl Branting, Enrico Francesconi, Matthias Grabmair, Marc Lauritsen, Vern R. Walker, Adam Zachary Wyner:
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. CEUR Workshop Proceedings 2143, CEUR-WS.org 2018 [contents] - 2017
- [j17]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): 671-693 (2017) - [c93]Jaromír Savelka, Kevin D. Ashley:
Detecting Agent Mentions in U.S. Court Decisions. JURIX 2017: 39-48 - [c92]Mohammad Hassan Falakmasir, Kevin D. Ashley:
Utilizing Vector Space Models for Identifying Legal Factors from Text. JURIX 2017: 183-192 - [e6]Ivan Habernal, Iryna Gurevych, Kevin D. Ashley, Claire Cardie, Nancy L. Green, Diane J. Litman, Georgios Petasis, Chris Reed, Noam Slonim, Vern R. Walker:
Proceedings of the 4th Workshop on Argument Mining, ArgMining@EMNLP 2017, Copenhagen, Denmark, September 8, 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-84-5 [contents] - 2016
- [c91]Jaromír Savelka, Kevin D. Ashley:
Extracting Case Law Sentences for Argumentation about the Meaning of Statutory Terms. ArgMining@ACL 2016 - [c90]Alok Baikadi, Christian D. Schunn, Kevin D. Ashley:
Impact of Revision Planning on Peer-Reviewed Writing. EDM (Workshops) 2016 - [c89]Fattaneh Jabbari, Mohammad Hassan Falakmasir, Kevin D. Ashley:
Identifying Thesis Statements in Student Essays: The Class Imbalance Challenge and Resolution. FLAIRS 2016: 220-225 - [c88]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: 33-42 - 2015
- [j16]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): 789-807 (2015) - [c87]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 - [c86]Alok Baikadi, Christian Schunn, Kevin D. Ashley:
Understanding Revision Planning in Peer-Reviewed Writing. EDM 2015: 544-547 - [c85]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: 69-78 - [c84]Jaromír Savelka, Kevin D. Ashley:
Transfer of predictive models for classification of statutory texts in multi-jurisdictional settings. ICAIL 2015: 216-220 - [c83]Jaromír Savelka, Gaurav Trivedi, Kevin D. Ashley:
Applying an Interactive Machine Learning Approach to Statutory Analysis. JURIX 2015: 101-110 - 2014
- [c82]Kevin D. Ashley:
Applying Argument Extraction to Improve Legal Information Retrieval. ArgNLP 2014 - [c81]Collin F. Lynch, Kevin D. Ashley:
Empirically Valid Rules for Ill-Defined Domains. EDM 2014: 237-240 - [c80]Collin F. Lynch, Mohammad Hassan Falakmasir, Kevin D. Ashley:
Matching Hypothesis Text in Diagrams and Essays. EDM 2014: 383-384 - [c79]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: 254-259 - [c78]Collin F. Lynch, Kevin D. Ashley, Min Chi:
Can Diagrams Predict Essay Grades? Intelligent Tutoring Systems 2014: 260-265 - [c77]Jaromír Savelka, Matthias Grabmair, Kevin D. Ashley:
Mining Information from Statutory Texts in Multi-Jurisdictional Settings. JURIX 2014: 133-142 - 2013
- [c76]Mohammad Hassan Falakmasir, Kevin D. Ashley, Christian D. Schunn:
Using Argument Diagramming to Improve Peer Grading of Writing Assignments. AIED Workshops 2013 - [c75]Matthias Grabmair, Kevin D. Ashley:
Using event progression to enhance purposive argumentation in the value judgment formalism. ICAIL 2013: 73-82 - [c74]Kevin D. Ashley, Vern R. Walker:
Toward constructing evidence-based legal arguments using legal decision documents and machine learning. ICAIL 2013: 176-180 - [c73]Kevin D. Ashley, Vern R. Walker:
From Information Retrieval (IR) to Argument Retrieval (AR) for Legal Cases: Report on a Baseline Study. JURIX 2013: 29-38 - [e5]Kevin D. Ashley:
Legal Knowledge and Information Systems - JURIX 2013: The Twenty-Sixth Annual Conference, December 11-13, 2013, University of Bologna, Italy. Frontiers in Artificial Intelligence and Applications 259, IOS Press 2013, ISBN 978-1-61499-358-2 [contents] - 2012
- [j15]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): 215-319 (2012) - [c72]Collin F. Lynch, Kevin D. Ashley, Mohammad Hassan Falakmasir:
Comparing Argument Diagrams. JURIX 2012: 81-90 - 2011
- [c71]Ilya M. Goldin, Kevin D. Ashley:
Peering Inside Peer Review with Bayesian Models. AIED 2011: 90-97 - [c70]Matthias Grabmair, Kevin D. Ashley:
Facilitating case comparison using value judgments and intermediate legal concepts. ICAIL 2011: 161-170 - [c69]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: 229-238 - [c68]Kevin D. Ashley, Ilya M. Goldin:
Toward AI-enhanced Computer-supported Peer Review in Legal Education. JURIX 2011: 3-12 - [c67]Matthias Grabmair, Kevin D. Ashley, Rebecca Hwa, Patricia M. Sweeney:
Toward Extracting Information from Public Health Statutes using Text Classification Machine Learning. JURIX 2011: 73-82 - [p1]Kevin D. Ashley:
The Case-Based Reasoning Approach: Ontologies for Analogical Legal Argument. Approaches to Legal Ontologies 2011: 99-115 - [e4]Kevin D. Ashley, Tom M. van Engers:
The 13th International Conference on Artificial Intelligence and Law, Proceedings of the Conference, June 6-10, 2011, Pittsburgh, PA, USA. ACM 2011, ISBN 978-1-4503-0755-0 [contents] - 2010
- [j14]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): 311-320 (2010) - [c66]Ilya M. Goldin, Kevin D. Ashley:
Eliciting Informative Feedback in Peer Review: Importance of Problem-Specific Scaffolding. Intelligent Tutoring Systems (1) 2010: 95-104 - [c65]Matthias Grabmair, Kevin D. Ashley:
Argumentation with Value Judgments - An Example of Hypothetical Reasoning. JURIX 2010: 67-76
2000 – 2009
- 2009
- [j13]Collin F. Lynch, Kevin D. Ashley, Niels Pinkwart, Vincent Aleven:
Concepts, Structures, and Goals: Redefining Ill-Definedness. Int. J. Artif. Intell. Educ. 19(3): 253-266 (2009) - [j12]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): 401-424 (2009) - [j11]Kevin D. Ashley, Stefanie Brüninghaus:
Automatically classifying case texts and predicting outcomes. Artif. Intell. Law 17(2): 125-165 (2009) - [j10]Kevin D. Ashley:
Teaching a process model of legal argument with hypotheticals. Artif. Intell. Law 17(4): 321-370 (2009) - [c64]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 - [c63]Niels Pinkwart, Collin F. Lynch, Kevin D. Ashley, Vincent Aleven:
Assessing Argument Diagrams in an Ill-defined Domain. AIED 2009: 590-592 - [c62]Kevin D. Ashley:
What a Legal CBR Ontology Should Provide. FLAIRS 2009 - [c61]Kevin D. Ashley:
Ontological requirements for analogical, teleological, and hypothetical legal reasoning. ICAIL 2009: 1-10 - [c60]Collin F. Lynch, Kevin D. Ashley, Niels Pinkwart, Vincent Aleven:
Toward assessing law students' argument diagrams. ICAIL 2009: 222-223 - [c59]Matthias Grabmair, Kevin D. Ashley:
Using critical questions to disambiguate and formalize statutory provisions. ICAIL 2009: 240-241 - [c58]Kevin D. Ashley, Collin F. Lynch, Niels Pinkwart, Vincent Aleven:
Toward Modeling and Teaching Legal Case-Based Adaptation with Expert Examples. ICCBR 2009: 45-59 - [c57]Collin F. Lynch, Kevin D. Ashley, Niels Pinkwart, Vincent Aleven:
Argument Diagramming and Diagnostic Reliability. JURIX 2009: 106-115 - 2008
- [c56]Collin F. Lynch, Kevin D. Ashley, Niels Pinkwart, Vincent Aleven:
Argument graph classification with Genetic Programming and C4.5. EDM 2008: 137-146 - [c55]Kevin D. Ashley:
Some Thoughts on Using Computers to Teach Argumentation. FLAIRS 2008: 17 - [c54]Niels Pinkwart, Kevin D. Ashley, Vincent Aleven, Collin F. Lynch:
Graph Grammars: An ITS Technology for Diagram Representations. FLAIRS 2008: 433-438 - [c53]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: 90-100 - [c52]Kevin D. Ashley, Collin F. Lynch, Niels Pinkwart, Vincent Aleven:
A Process Model of Legal Argument with Hypotheticals. JURIX 2008: 1-10 - 2007
- [c51]Niels Pinkwart, Vincent Aleven, Kevin D. Ashley, Collin F. Lynch:
Evaluating Legal Argument Instruction with Graphical Representations Using LARGO. AIED 2007: 101-108 - [c50]Vincent Aleven, Kevin D. Ashley, Collin F. Lynch, Niels Pinkwart:
AIED Applications in Ill-Defined Domains. AIED 2007: 713 - [c49]Kevin D. Ashley:
Interpretive Reasoning with Hypothetical Cases. FLAIRS 2007: 387-392 - [c48]Kevin D. Ashley, Niels Pinkwart, Collin F. Lynch, Vincent Aleven:
Learning by diagramming Supreme Court oral arguments. ICAIL 2007: 271-275 - [c47]Niels Pinkwart, Collin F. Lynch, Kevin D. Ashley, Vincent Aleven:
Student's Usage of Multiple Linked Argument Representations in LARGO. MuC 2007: 245-250 - 2006
- [c46]Stefanie Brüninghaus, Kevin D. Ashley:
Progress in Textual Case-Based Reasoning: Predicting the Outcome of Legal Cases from Text. AAAI 2006: 1577-1580 - [c45]Niels Pinkwart, Vincent Aleven, Kevin D. Ashley, Collin F. Lynch:
Schwachstellenermittlung und Rückmeldungsprinzipen in einem intelligenten Tutorensystem für juristische Argumentation. DeLFI 2006: 75-86 - [c44]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: 227-236 - [e3]Mitsuru Ikeda, Kevin D. Ashley, Tak-Wai Chan:
Intelligent Tutoring Systems, 8th International Conference, ITS 2006, Jhongli, Taiwan, June 26-30, 2006, Proceedings. Lecture Notes in Computer Science 4053, Springer 2006, ISBN 3-540-35159-0 [contents] - 2005
- [j9]Rosina O. Weber, Kevin D. Ashley, Stefanie Brüninghaus:
Textual case-based reasoning. Knowl. Eng. Rev. 20(3): 255-260 (2005) - [j8]Edwina L. Rissland, Kevin D. Ashley, Karl Branting:
Case-based reasoning and law. Knowl. Eng. Rev. 20(3): 293-298 (2005) - [c43]Vincent Aleven, Kevin D. Ashley:
Toward supporting hypothesis formation and testing in an interpretive domain. AIED 2005: 732-734 - [c42]Vincent Aleven, Kevin D. Ashley, Collin F. Lynch:
Helping Law Students to Understand US Supreme Court Oral Arguments: A Planned Experiment. ICAIL 2005: 55-59 - [c41]Stefanie Brüninghaus, Kevin D. Ashley:
Generating Legal Arguments and Predictions from Case Texts. ICAIL 2005: 65-74 - [c40]Stefanie Brüninghaus, Kevin D. Ashley:
Reasoning with Textual Cases. ICCBR 2005: 137-151 - [c39]