Sartor, G., Wyner, A., & Contissa, G. (2025). Mind the Gaps: Logical English, Prolog, and Multi-agent Systems for Autonomous Vehicles. Electronic Proceedings in Theoretical Computer Science, 416, 111-124.
Zurek, T., Wyner, A., & Bench-Capon, T. (2024). Values and Factor Ascription Arguments. Frontiers in Artificial Intelligence and Applications IOS Press
Morgan, J., Paiement, A., Seisenberger, M., Williams, J., & Wyner, A. (2018). A Chatbot Framework for the Children’s Legal Centre. In Frontiers in Artificial Intelligence and Applications (pp. 205-209).
Anim, k., Robaldo, L., & Wyner, A. (2024). Compliance Checking in the Energy Domain via W3C Standards. In New Frontiers in Artificial Intelligence (pp. 3-18). Springer Nature Switzerland.
Sartor, G., Wyner, A., & Contissa, G. (2025). Mind the Gaps: Logical English, Prolog, and Multi-agent Systems for Autonomous Vehicles. Electronic Proceedings in Theoretical Computer Science, 416, 111-124.
Wallner, J., Wyner, A., & Zurek, T. (2024). Value-Based Reasoning in ASPIC+. Frontiers in Artificial Intelligence and Applications, Volume 388: Computational Models of Argument, 325-336.
Bhattacharya, P., Paul, S., Ghosh, K., Ghosh, S., & Wyner, A. (2023). DeepRhole: deep learning for rhetorical role labeling of sentences in legal case documents. Artificial Intelligence and Law, 31(1), 53-90.
Liepiņa, R., Sartor, G., & Wyner, A. (2020). Arguing about causes in law: a semi-formal framework for causal arguments. Artificial Intelligence and Law, 28(1), 69-89.
Fawei, B., Pan, J., Kollingbaum, M., & Wyner, A. (2019). A Semi-automated Ontology Construction for Legal Question Answering. New Generation Computing, 37(4), 453-478.
Strass, H., Wyner, A., & Diller, M. (2019). EMIL: Extracting Meaning from Inconsistent Language. International Journal of Approximate Reasoning, 112, 55-84.
Shulayeva, O., Siddharthan, A., & Wyner, A. (2017). Recognizing cited facts and principles in legal judgements. Artificial Intelligence and Law, 25(1), 107-126.
Wyner, A. (2016). Working on the argument pipeline: Through flow issues between natural language argument, instantiated arguments, and argumentation frameworks. Argument & Computation, 7(1), 69-89.
Lin, C., Ibeke, E., Wyner, A., & Guerin, F. (2015). Sentiment-topic modeling in text mining. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 5(5), 246-254.
Prakken, H., Wyner, A., Bench-Capon, T., & Atkinson, K. (2015). A formalization of argumentation schemes for legal case-based reasoning in ASPIC+. Journal of Logic and Computation, 25(5), 1141-1166.
Wyner, A., Bench-Capon, T., & Wyner, A. (2009). Modelling Judicial Context in Argumentation Frameworks. Journal of Logic and Computation, 19(6), 941-968.
Wyner, A., Angelov, K., Barzdins, G., Damljanovic, D., Davis, B., Fuchs, N., Hoefler, S., Jones, K., Kaljurand, K., Kuhn, T., Luts, M., Pool, J., Rosner, M., Schwitter, R., & Sowa, J. (2010). Controlled Natural Language
Zurek, T., Wyner, A., & Bench-Capon, T. (2024). Values and Factor Ascription Arguments. Frontiers in Artificial Intelligence and Applications IOS Press
Liepina, R., Sartor, G., & Wyner, A. (2018). Causal Models of Legal Cases. Lecture Notes in Computer Science (pp. 172-186). Springer International Publishing
Peters, W. & Wyner, A.(2015). Extracting Hohfeldian relations from text. In Antonino Rotolo (Ed.),Legal Knowledge and Information Systems (pp. 189-190). IOS Press
Athan, T., Governatori, G., Palmirani, M., Paschke, A., & Wyner, A. (2015). LegalRuleML: Design Principles and Foundations. In Wolfgang Faber, Adrian Paschke. (Ed.),Reasoning Web. Web Logic Rules (pp. 151-188). Springer International Publishing
Wyner, A., Bench-Capon, T., & Dunne, P. (2009). On the Instantiation of Knowledge Bases in Abstract Argumentation Frameworks. Computational Logic in Multi-Agent Systems -50).
Sartor, G., Francesconi, E., & Wyner, A. (2026). Using LLMs to Develop Legal Rule Ontologies for Compliance Checking. In Tiwari S., Tiwari S., Mihindukulasooriya N., D'Souza J., Osborne F., Marx E., Osborne F. (Ed.),CEUR Workshop Proceedings (pp. 98-113). CEUR-WS.
Wyner, A. & Zurek, T.(2025). Satisfaction in Negotiation by Structured Values and Propositions. In Lecture Notes in Computer Science (pp. 176-192). Springer Nature Switzerland.
Wyner, A., Zurek, T., & Stachura-Zurek, D. (2025). Towards a Formalisation of Value-Based Actions and Consequentialist Ethics. In Lecture Notes in Computer Science (pp. 15-31). Springer Nature Switzerland.
Wyner, A. & Zurek, T.(2024). Towards a Formalisation of Motivated Reasoning and the Roots of Conflict. In Lecture Notes in Computer Science (pp. 28-45). Springer Nature Switzerland.
Anim, k., Robaldo, L., & Wyner, A. (2024). Compliance Checking in the Energy Domain via W3C Standards. In New Frontiers in Artificial Intelligence (pp. 3-18). Springer Nature Switzerland.
Liepiņa, R., Wyner, A., Sartor, G., & Lagioia, F. (2023). Argumentation Schemes for Legal Presumption of Causality. In Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law (pp. 157-166). ACM.
Bansky, P., Edelstein, E., Pan, J., & Wyner, A. (2020). A Dynamic and Informative Intelligent Survey System Based on Knowledge Graph. In Semantic Technology (pp. 226-241). Springer International Publishing.
Morgan, J., Paiement, A., Seisenberger, M., Williams, J., & Wyner, A. (2018). A Chatbot Framework for the Children’s Legal Centre. In Frontiers in Artificial Intelligence and Applications (pp. 205-209).
Fawei, B., Pan, J., Kollingbaum, M., & Wyner, A. (2018). A Methodology for a Criminal Law and Procedure Ontology for Legal Question Answering. In Semantic Technology (pp. 198-214).
Soares, R., Edelstein, E., Pan, J., & Wyner, A. (2018). Knowledge Driven Intelligent Survey Systems for Linguists. In Semantic Technology-18). Semantic Technology: 8th Joint International Conference, JIST 2018..
Wyner, A. (2017). On automated defeasible reasoning with controlled natural language and argumentation. In AAAI Publications, Workshops at the Thirty-First AAAI Conference on Artificial Intelligence
Wyner, A. & Peters, W.(2016). Legal text interpretation: Identifying Hohfeldian relations from text. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016) (pp. 379-384).
Wyner, A. (2016). Passing a USA national bar exam: A first corpus for experimentation. LREC 2016, Tenth International Conference on Language Resources and Evaluation.
Bench-Capon, T., Prakken, H., Wyner, A., & Atkinson, K. (2013). Argument schemes for reasoning with legal cases using values. In ICAIL '13 Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law (pp. 13-22). International Conference on Artificial Intelligence and Law.
Wardeh, M., Wyner, A., Atkinson, K., & Bench-Capon, T. (2013). Argumentation based tools for policy-making. In ICAIL '13 Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law (pp. 249-250). International Conference on Artificial Intelligence and Law.
Athan, T., Boley, H., Governatori, G., Palmirani, M., Paschke, A., & Wyner, A. (2013). OASIS LegalRuleML. In ICAIL '13 Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law (pp. 3-12). International Conference on Artificial Intelligence and Law.
Atkinson, K., Bench-Capon, T., Cartwright, D., & Wyner, A. (2011). Semantic models for policy deliberation. In ICAIL '11 Proceedings of the 13th International Conference on Artificial Intelligence and Law (pp. 81-90). International Conference on Artificial Intelligence and Law.
Wyner, A., Bench-Capon, T., & Atkinson, K. (2011). Towards formalising argumentation about legal cases. In ICAIL '11 Proceedings of the 13th International Conference on Artificial Intelligence and Law (pp. 1-10). International Conference on Artificial Intelligence and Law.
Wyner, A., Bench-Capon, T., & Dunne, P. (2009). On the Instantiation of Knowledge Bases in Abstract Argumentation Frameworks. In Computational Logic in Multi-Agent Systems (pp. 34-50).
Morgan, J. & Wyner, A. (n.d.) Values, Preferences, and the Root of Moral Conflict. In Fourth International Workshop on Value Engineering in AI (VALE 2026)
Automating documentary regulatory compliance in the upstream petroleum sector of Ghana with particular focus on the area of local content and participation
(awarded 2025)