This is a list of the major publications of the LLT Lab. The list is in reverse chronological order, and provides links to abstracts of each publication and often to full-text versions.


Representing the Logic of Statutory Rules in the United States, Vern R. Walker, Bernadette C. Lopez, Matthew T. Rutchik, and Julie L. Agris. Chapter 13 in the volume “Logic in the Theory and Practice of Lawmaking” (Michał Araszkiewicz and Krzysztof Płeszka, eds.) (Springer, 2015).

Argumentation Mining from Judicial Decisions: The Attribution Problem and the Need for Legal Discourse Models, Vern R. Walker, Parisa Bagheri and Andrew J. Lauria. Peer-reviewed and presented at the 2015 Workshop on Automated Detection, Extraction and Analysis of Semantic Information in Legal Texts (ASAIL 2015), held in conjunction with the 15th International Conference on Artificial Intelligence & Law (ICAIL 2015), in San Diego, June 8-12, 2015. Copy of full text available for download in .pdf format.

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 and Vern R. Walker. In the Proceedings of the 15th International Conference on Artificial Intelligence & Law (ICAIL 2015), June 8-12, 2015, pp. 69-78 (ACM: New York, 2015).

Annotating Patterns of Reasoning about Medical Theories of Causation in Vaccine Cases: Toward a Type System for Arguments, Vern R. Walker, Karina Vazirova and Cass Sanford. In the Proceedings of the First Workshop on Argumentation Mining, at the 52nd Annual Meeting of the Association for Computational Linguistics, June 26, 2014. Copy of full text available for download in .pdf format.

Representing the use of rule-based presumptions in legal decision documents, Vern R. Walker. In Law, Probability and Risk, published online May 26, 2014 (print version forthcoming, 2014). Prepublication copy available for download in .pdf format.

From Information Retrieval (IR) to Argument Retrieval (AR) for Legal Cases: Report on a Baseline Study, Kevin D. Ashley and Vern R. Walker. In the Proceedings of the 26th International Conference on Legal Knowledge and Information Systems (JURIX 2013), held in Bologna, Italy, on December 11-13, 2013. Copy of full text available for download in .pdf format.

Law Schools as Knowledge Centers in the Digital Age, Vern R. Walker, A. J. Durwin, Philip H. Hwang, Keith Langlais and Mycroft Boyd. In the Chicago-Kent Law Review 88:879-916 (2013) (Symposium Issue on “Justice, Lawyering and Legal Education in the Digital Age”). Copy of full text available for download in .pdf format.

A process approach to inferences of causation: empirical research from vaccine cases in the USA, Vern R. Walker, Chan Hee Park, Philip H. Hwang, Arthur John, Evgeny I. Krasnov and Keith Langlais. In Law, Probability and Risk, 12:189-205 (2013) (first published online May 22, 2013). Prepublication copy available for download in .pdf format.

Toward Constructing Evidence-Based Legal Arguments Using Legal Decision Documents and Machine Learning, Kevin D. Ashley and Vern R. Walker. In the Proceedings of the 14th International Conference on Artificial Intelligence and Law (ICAIL 2013), June 10-14, 2013, pp. 176-80 (ACM: New York, 2013). Copy of full text available for download in .pdf format.

A framework for the extraction and modeling of fact-finding reasoning from legal decisions: lessons from the Vaccine/Injury Project Corpus, Vern R. Walker, Nathaniel Carie, Courtney C. DeWitt, and Eric Lesh. In Artificial Intelligence & Law 19:291-331 (2011). Publisher’s copy available for download. Authors’ version as accepted for publication.

Designing Factfinding for Cross-Border Healthcare, Vern R. Walker. In Opinio Juris in Comparatione, Vol. 3, Paper n. 1, pp. 1-40 (2009). Copy of full text available for download in .pdf format.

Plausibility Schemas: Templates for Legal Factfinding, Vern R. Walker. In the Proceedings of the 12th International Conference on Artificial Intelligence and Law (ICAIL 2011), June 8-12, 2009, pp. 214-15 (ACM: New York, 2009). Copy of full text available for download in .pdf format.

Emergent Reasoning Structures in Law, Vern R. Walker. Chapter in Handbook of Research on Agent-Based Societies: Social and Cultural Interactions (Goran Trajkovski and Samuel G. Collins, Editors; Information Science Reference, 2009). Copy of full text available for download in .pdf format.

A Default-Logic Model of Factfinding for United States Regulation of Food Safety, Vern R. Walker. Chapter in Uncertain Risks Regulated (Ellen Vos and Michelle Everson, Editors; Routledge-Cavendish Publishing, 2008).

Discovering the Logic of Legal Reasoning, Vern R. Walker. Idea essay in the Hofstra Law Review 35:1687-1707 (2007). Copy of full text available for download in .pdf format.

Visualizing the Dynamics around the Rule/Evidence Interface in Legal Reasoning, Vern R. Walker. In Law, Probability and Risk 6:5-22 (2007). Prepublication copy available for download in .pdf format.

A Default-Logic Paradigm for Legal Fact-Finding, Vern R. Walker. In Jurimetrics 47:193-243 (2007). Copy of full text available for download in .pdf format.

A Default-Logic Framework for Legal Reasoning in Multiagent Systems, Vern R. Walker. Peer-reviewed paper available in Technical Report FS-06-05 for the 2006 Fall Symposium of the American Association for Artificial Intelligence.