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Dr Adam Wyner

Associate Professor in Law and Computer Science, Legal Studies

+44 (0) 1792 295308

a.z.wyner@swansea.ac.uk

Research Links

https://orcid.org/0000-0002-2958-3428

About

Adam is an Associate Professor in Law and Computer Science, and the programme lead on the LLM in LegalTech.

Areas Of Expertise

Artificial Intelligence and Law
Natural Language Processing
Argumentation
Knowledge representation
Knowledge acquisition
Reasoning
Semantic Web
Knowledge graph

Publications

Research Highlights

Strass, H., Wyner, A., & Diller, M. (2019). EMIL: Extracting Meaning from Inconsistent Language. International Journal of Approximate Reasoning, 112, 55-84.
https://doi.org/10.1016/j.ijar.2019.04.010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50680
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.
https://doi.org/10.1007/s10506-019-09246-z, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49685
http://dx.doi.org/10.1007/s10506-019-09246-z
Shulayeva, O., Siddharthan, A., & Wyner, A. (2017). Recognizing cited facts and principles in legal judgements. Artificial Intelligence and Law, 25(1), 107-126.
https://doi.org/10.1007/s10506-017-9197-6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa40674
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).
https://doi.org/10.1007/978-3-030-04284-4_14, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa47953
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..
https://doi.org/10.1007/978-3-030-04284-4_1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa47954

All Research

Journal Articles

Strass, H., Wyner, A., & Diller, M. (2019). EMIL: Extracting Meaning from Inconsistent Language. International Journal of Approximate Reasoning, 112, 55-84.
https://doi.org/10.1016/j.ijar.2019.04.010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50680
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.
https://doi.org/10.1007/s10506-019-09246-z, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49685
http://dx.doi.org/10.1007/s10506-019-09246-z
Shulayeva, O., Siddharthan, A., & Wyner, A. (2017). Recognizing cited facts and principles in legal judgements. Artificial Intelligence and Law, 25(1), 107-126.
https://doi.org/10.1007/s10506-017-9197-6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa40674
Wyner, A. (2016). A functional perspective on argumentation schemes. Argument & Computation, 7(2-3), 113-133.
https://doi.org/10.3233/AAC-160010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa40693
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.
https://doi.org/10.3233/AAC-160002, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50688
https://content.iospress.com/articles/argument-and-computation/aac002
Wyner, A., Bench-Capon, T., Dunne, P., & Cerutti, F. (2015). Senses of ‘argument’ in instantiated argumentation frameworks. Argument & Computation, 6(1), 50-72.
https://doi.org/10.1080/19462166.2014.1002535, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa40673
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.
https://doi.org/10.1002/widm.1161, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50692
Wyner, A. & Hoekstra, R. (2012). A legal case OWL ontology with an instantiation of Popov v. Hayashi. Artificial Intelligence and Law, 20(1), 83-107.
https://doi.org/10.1007/s10506-012-9119-6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50704
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.
https://doi.org/10.1093/logcom/ext010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50722
Wyner, A., Bench-Capon, T., & Wyner, A. (2009). Modelling Judicial Context in Argumentation Frameworks. Journal of Logic and Computation, 19(6), 941-968.
https://doi.org/10.1093/logcom/exp009, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50733
Wyner, A. (2008). An ontology in OWL for legal case-based reasoning. Artificial Intelligence and Law, 16(4), 361-387.
https://doi.org/10.1007/s10506-008-9070-8, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50734
Fawei, B., Pan, J., Kollingbaum, M., & Wyner, A. (2019). A Semi-automated Ontology Construction for Legal Question Answering. New Generation Computing
https://doi.org/10.1007/s00354-019-00070-2, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52803

Authored Books

Wyner, A. (2017). On annotation of the textual contents of Scottish legal instruments
https://doi.org/10.3233/978-1-61499-838-9-101, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50681
Wyner, A. & Strass, H. (2017). Advances in Artificial Intelligence: From Theory to Practice
https://doi.org/10.1007/978-3-319-60045-1_35, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50683
Wyner, A., Nazarenko, A., & Lévy, F. (2016). Controlled Natural Language
https://doi.org/10.1007/978-3-319-41498-0_9, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50686
Wyner, A. (2016). Towards a methodology for formalizing legal texts in LegalRuleML
https://doi.org/10.3233/978-1-61499-726-9-149, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50687
Wyner, A. (2015). Extracting Hohfeldian relations from text
https://doi.org/10.3233/978-1-61499-609-5-189, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50689
Athan, T., Governatori, G., Palmirani, M., Paschke, A., & Wyner, A. (2015). Reasoning Web. Web Logic Rules
https://doi.org/10.1007/978-3-319-21768-0_6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50690
Wyner, A. (2015). Passing a USA national bar exam - A first experiment
https://doi.org/10.3233/978-1-61499-609-5-179, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50691
Bench-Capon, T., Atkinson, K., & Wyner, A. (2015). Transactions on Large-Scale Data- and Knowledge-Centered Systems XVIII
https://doi.org/10.1007/978-3-662-46485-4_1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50693
Wyner, A. (2013). A case study on legal case annotation
https://doi.org/10.3233/978-1-61499-359-9-165, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50696
Wyner, A. (2013). Argumentation schemes for reasoning about factors with dimensions
https://doi.org/10.3233/978-1-61499-359-9-39, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50700
Athan, T., Boley, H., Governatori, G., Palmirani, M., Paschke, A., & Wyner, A. (2013). Theory, Practice, and Applications of Rules on the Web
https://doi.org/10.1007/978-3-642-39617-5_4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50701
Wyner, A., Bench-Capon, T., & Dunne, P. (2013). Computational Logic in Multi-Agent Systems
https://doi.org/10.1007/978-3-642-40624-9_3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50703
Wyner, A. (2012). A model-based critique tool for policy deliberation
https://doi.org/10.3233/978-1-61499-167-0-167, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50705
Wyner, A. (2012). An empirical approach to the semantic representation of laws
https://doi.org/10.3233/978-1-61499-167-0-177, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50706
Lloyd-Kelly, M. & Wyner, A. (2012). Advances in User Modeling
https://doi.org/10.1007/978-3-642-28509-7_33, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50707
Wyner, A., Riley, L., Hoehndorf, R., & Croset, S. (2012). Information Technology in Bio- and Medical Informatics
https://doi.org/10.1007/978-3-642-32395-9_10, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50709
Wyner, A. (2012). Critiquing justifications for action using a semantic model: Demonstration
https://doi.org/10.3233/978-1-61499-111-3-503, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50710
Schneider, J., Davis, B., & Wyner, A. (2012). Knowledge Engineering and Knowledge Management
https://doi.org/10.1007/978-3-642-33876-2_4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50711
Wyner, A., Atkinson, K., & Bench-Capon, T. (2012). Electronic Participation
https://doi.org/10.1007/978-3-642-33250-0_11, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50713
Wyner, A. (2012). Semi-automated argumentative analysis of online product reviews
https://doi.org/10.3233/978-1-61499-111-3-43, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50714
Wyner, A. (2011). On rule extraction from regulations
https://doi.org/10.3233/978-1-60750-981-3-113, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50717
Wyner, A. (2011). Populating an online consultation tool
https://doi.org/10.3233/978-1-60750-981-3-150, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50718
Wyner, A., Atkinson, K., & Bench-Capon, T. (2011). Electronic Participation
https://doi.org/10.1007/978-3-642-23333-3_25, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50720
Wyner, A., Mochales-Palau, R., Moens, M., & Milward, D. (2010). Semantic Processing of Legal Texts
https://doi.org/10.1007/978-3-642-12837-0_4, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50723
Wyner, A. (2010). Arguing Global Governance
https://doi.org/10.4324/9780203842577, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50724
Wyner, A., van Engers, T., & Bahreini, K. (2010). Electronic Government and the Information Systems Perspective
https://doi.org/10.1007/978-3-642-15172-9_5, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50725
Wyner, A. (2010). Lexical semantics and expert legal knowledge towards the identification of legal case factors
https://doi.org/10.3233/978-1-60750-682-9-127, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50726
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
https://doi.org/10.1007/978-3-642-14418-9_17, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50727
Wyner, A. (2008). Modelling judicial context in argumentation frameworks
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50735
Wyner, A. (2007). Three senses of "argument"
https://doi.org/10.1007/978-3-540-85569-9_10, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50736
Wyner, A. (2007). Towards an extensible argumentation system
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50737
Wyner, A. (2006). A functional program for agents, actions, and deontic specifications
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50738
Wyner, A. (2006). Deontic Logic and Artificial Normative Systems
https://doi.org/10.1007/11786849_21, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50739

Book Chapters

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).
https://doi.org/10.1007/978-3-642-40624-9_3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50732
Wyner, A. (2004). Maintaining Obligations on Stative Expressions in a Deontic Action Logic. Deontic Logic in Computer Science-274).
https://doi.org/10.1007/978-3-540-25927-5_17, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50740

Conference Contributions

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).
https://doi.org/10.1007/978-3-030-04284-4_14, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa47953
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..
https://doi.org/10.1007/978-3-030-04284-4_1, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa47954
Wyner, A. (2018). A Chatbot Framework for the Children's Legal Centre. In Legal Knowledge and Information Systems (pp. 205-209). IOS Press.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa48661
http://ebooks.iospress.nl/volume/legal-knowledge-and-information-systems-jurix-2018-the-thirty-first-annual-conference
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
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50682
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).
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50684
https://www.aclweb.org/anthology/L16-1059/
Liepina, R., Sartor, G., & Wyner, A. (n.d.) Causal Models of Legal Cases. In AI Approaches to the Complexity of Legal Systems-186).
https://doi.org/10.1007/978-3-030-00178-0_11, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50222
Wyner, A. (2016). Passing a USA national bar exam: A first corpus for experimentation. LREC 2016, Tenth International Conference on Language Resources and Evaluation.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50685
http://www.lrec-conf.org/proceedings/lrec2016/summaries/1160.html
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).
https://doi.org/10.1007/978-3-642-40624-9_3, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52172
Wyner, A. (2014). Legal interpretations in LegalRuleML.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50694
Wyner, A. (2014). Mining fine-grained argument elements.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50695
Wyner, A. (2013). A study on translating regulatory rules from natural language to defeasible logic.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50697
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.
https://doi.org/10.1145/2514601.2514604, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50698
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.
https://doi.org/10.1145/2514601.2514640, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50699
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.
https://doi.org/10.1145/2514601.2514603, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50702
Wyner, A. (2012). Arguing from a point of view.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50708
Wyner, A. (2012). Identifying consumers' arguments in text.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50712
Wyner, A. (2011). Arguing with emotion.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50715
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.
https://doi.org/10.1145/2018358.2018369, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50719
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.
https://doi.org/10.1145/2018358.2018359, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50721
Wyner, A. (2010). Representing deontic concepts for CNLs.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50728
Wyner, A. (2010). Towards annotating and extracting textual legal case elements.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50729
Wyner, A. (2010). Web-based mass argumentation in natural language.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50730
Wyner, A. (2010). What do you mean? Arguing for meaning.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa50731
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.
https://doi.org/10.1007/978-3-030-41407-8_15, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53829

Taught Modules

CS-261 Coding for Lawyers

This module provides an introduction to Computer programming and coding principles, tailored to students from Law. Students will be able to apply those principles in practice to program development in Python and gain further insight in the typical design, structure and application of technical solutions. The module enables students majoring in Law to reach a level of skill in programming such that they will be able to apply their computing knowledge to their own subject.
CSC325 Artificial Intelligence

CSC325 is an introduction to Artificial Intelligence, focusing primarily on reasoning and problem-solving as a search for a solution rather than on statistical techniques for classification. The course may cover topics from amongst: search techniques; knowledge representation and expert systems; planning; scheduling; qualitative reasoning; language processing with grammar rules; and meta-programming.
CSCM23 Designing-in Trust, Understanding and Negotiation

This module explores state-of-the-art methods and concepts to assist responsible design and development of technology with the aim of creating reliable and trusted systems. The content of this module will be delivered by expert lecturers and practitioners in the areas of trusted computation, bias and explainability in automated decision making and decision support, ethical considerations for AI, argumentation and negotiation, as well as formal methods, such as verification of critical systems.
CSLM81 Computational Thinking

Computational Thinking is a problem solving paradigm aimed at constructing and evaluating solutions to problems which a computer - be it human or mechanical - can carry out effectively. The module provides an introduction to Computational Thinking and Computer Programming, tailored to students from Law. Students will be able to apply problem solving principles to program development in Python. They will gain insight into the typical design, structure and application of technical solutions within a legal context.
LAAD01 LegalTech Project

Students will seek to develop a technological solution to a legal services challenge in commercial law or access to justice settings. Students will be able to use any software application or program language. Supervision will be provided in accordance with the procedures set out in the LLM LegalTech Handbook. Students should refer to the Handbook for information on supervision.
LAAM19 Artificial Intelligence and Law - Principles

The module is an introduction to some of the principles and techniques of Artificial Intelligence as applied to legal information such as legislation, case law, and contracts. Students will learn some of the key elements of AI including logic, knowledge representation, natural language processing, and machine learning. Students will gain theoretical knowledge about AI systems to understand how they are used to analyse, represent, and process legal information.

Dr Adam Wyner

Telephone number

Email address

Research Links

About

Areas Of Expertise

Publications

Research Highlights

All Research

Journal Articles

Authored Books

Book Chapters

Conference Contributions

Taught Modules

CS-261 Coding for Lawyers

CSC325 Artificial Intelligence

CSCM23 Designing-in Trust, Understanding and Negotiation

CSLM81 Computational Thinking

LAAD01 LegalTech Project

LAAM19 Artificial Intelligence and Law - Principles