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10 June 2022
Zhang, G. and Nulty, Paul and Lillis, D. (2022) Enhancing legal argument mining with domain pre-training and neural networks. Journal of Data Mining & Digital Humanities NLP4DH , ISSN 2416-5999.
13 June 2022
Zhang, G. and Nulty, Paul and Lillis, D. (2022) A decade of legal argumentation mining: datasets and approaches. In: Rosso, P. and Basile, V. and Martínez, R. and Métais, E. and Meziane, F. (eds.) Natural Language Processing and Information Systems - 27th International Conference on Applications of Natural Language to Information Systems, NLDB 2022, Valencia, Spain, June 15–17, 2022, Proceedings. Lecture Notes in Computer Science 13286. Springer, pp. 240-252. ISBN 9783031084720.
7 September 2023
Zhang, G. and Nulty, Paul and Lillis, D. (2023) Argument mining with graph representation learning. In: UNSPECIFIED (ed.) Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law. ACM Digital LIbrary, pp. 371-380. ISBN 9798400701979.