Professor Mark Lee

Dr Mark Lee

School of Computer Science
Professor of Artificial Intelligence

Contact details

Address
School of Computer Science
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Professor Mark Lee is a professor of artificial intelligence in the School of Computer Science. His research interests are focussed on Natural Language Processing. He is specifically interested in Sentiment Analysis of text, the automatic identification and understanding of metaphor and the effects of pragmatic inference in dialogue processing. More recently he has been investigating the extraction of constraints from text to build formal models for reasoning. He is the Principal Investigator of an EPSRC funded project on Automated Conflict Resolution in Clinical Pathways.

For more information, please see Mark's personal homepage.

Publications

Recent publications

Article

Devine, RT, Kovatchev, V, Grumley Traynor, I, Smith, P & Lee, M 2023, 'Machine learning and deep learning systems for automated measurement of ‘advanced’ theory of mind: reliability and validity in children and adolescents', Psychological Assessment, vol. 35, no. 2, pp. 165-177. https://doi.org/10.1037/pas0001186

Chen, S, Quinton, M, Alharbi, A, Bao, H, Bell, B, Carter, B, Duignan, M, Heyes, A, Kaplanidou, K, Karamani, M, Kennelly, J, Kokolakakis, T, Lee, M, Liang, X, Maharaj, B, Mair, J, Smith, A, van Blerk, L & Veldhuijzen van Zanten, J 2023, 'Propositions and recommendations for enhancing the legacies of major sporting events for disadvantaged communities and individuals', Event Management.

Litchfield, I, Turner, A, Ferreira Filho, JB, Lee, M & Weber, P 2022, 'Automated conflict resolution for patients with multiple morbidity being treated using more than one set of single condition clinical guidance: a case study', Computers in biology and medicine, vol. 144, 105381. https://doi.org/10.1016/j.compbiomed.2022.105381

Alharbi, AI, Smith, P & Lee, M 2022, 'Integrating character-level and word-level representation for affect in Arabic tweets', Data and Knowledge Engineering, vol. 138, 101973. https://doi.org/10.1016/j.datak.2021.101973

Samsudin, NH & Lee, M 2021, 'An analysis of perceptual confusions on logatome utterances for similar language', Intelligent Automation and Soft Computing, vol. 32, no. 2, pp. 1025-1039. https://doi.org/10.32604/iasc.2022.022180

Conference article

Alharbi, AI, Smith, P & Lee, M 2021, 'Enhancing contextualised language models with static character and word embeddings for emotional intensity and sentiment strength detection in Arabic tweets', Procedia CIRP, vol. 189, pp. 258-265. https://doi.org/10.1016/j.procs.2021.05.089

Conference contribution

Alnafesah, G, Smith, P & Lee, M 2023, Are you not moved? Incorporating Sensorimotor Knowledge to Improve Metaphor Detection. in R Mitkov & G Angelova (eds), Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing. International Conference Recent Advances in Natural Language Processing, Incoma Ltd, pp. 80-89, 2023 International Conference Recent Advances in Natural Language Processing: Large Language Models for Natural Language Processing, RANLP 2023, Varna, Bulgaria, 4/09/23. https://doi.org/10.26615/978-954-452-092-2_009

Al Amer, S, Lee, M & Smith, P 2023, Cross-lingual Classification of Crisis-related Tweets Using Machine Translation. in R Mitkov & G Angelova (eds), Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing. International Conference Recent Advances in Natural Language Processing, Incoma Ltd, pp. 22-31, 2023 International Conference Recent Advances in Natural Language Processing: Large Language Models for Natural Language Processing, RANLP 2023, Varna, Bulgaria, 4/09/23. https://doi.org/10.26615/978-954-452-092-2_003

Gokhan, T, Smith, P & Lee, M 2023, Node-Weighted Centrality Ranking for Unsupervised Long Document Summarization. in E Métais, F Meziane, V Sugumaran, W Manning & S Reiff-Marganiec (eds), Natural Language Processing and Information Systems: 28th International Conference on Applications of Natural Language to Information Systems, NLDB 2023, Derby, UK, June 21–23, 2023, Proceedings. 1 edn, Lecture Notes in Computer Science, vol. 13913, Springer, Cham, pp. 299–312, 28th International Conference on Applications of Natural Language to Information Systems, Derby, United Kingdom, 21/06/23. https://doi.org/10.1007/978-3-031-35320-8_21

Alharbi, A & Lee, M 2022, Classifying Arabic Crisis Tweets using Data Selection and Pre-trained Language Models. in H Al-Khalifa, T Elsayed, H Mubarak, A Al-Thubaity, W Magdy & K Darwish (eds), Proceedings of the 5th Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks on Qur'an QA and Fine-Grained Hate Speech Detection. International Conference on Language Resources and Evaluation (2022), European Language Resources Association (ELRA), pp. 71-78, 5th Workshop Open-Source Arabic Corpora and Processing Tools with Shared Tasks on Qur'an QA and Fine-Grained Hate Speech Detection, OSACT 2022, Marseille, France, 20/06/22. <https://aclanthology.org/2022.osact-1.8/>

Gokhan, T, Smith, P & Lee, M 2022, GUSUM: Graph-based Unsupervised Summarization Using Sentence Features Scoring and Sentence-BERT. in D Ustalov, Y Gao, A Panchenko, M Valentino, M Thayaparan, TH Nguyen, G Penn, A Ramesh & A Jana (eds), Proceedings of TextGraphs-16: Graph-based Methods for Natural Language Processing. Graph-based Methods for Natural Language Processing (TextGraphs), Association for Computational Linguistics, ACL, pp. 44-53, TextGraphs-16, Gyeongju, Korea, Republic of, 16/10/22. <https://aclanthology.org/2022.textgraphs-1.5/>

Kovatchev, V, Smith, P, Lee, M & Devine, R 2021, Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children's mindreading ability. in C Zong, F Xia, W Li & R Navigli (eds), Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). vol. 1, International Joint Conference on Natural Language Processing (IJCNLP), Association for Computational Linguistics, ACL, pp. 1196-1206, Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL-IJCNLP 2021, Virtual, Online, 1/08/21. https://doi.org/10.18653/v1/2021.acl-long.96

Other contribution

Liang, X, Chen, S, Quinton, M, Zanten, JVV, Duan, Z, Carter, B, Heyes, A & Lee, M 2022, The legacy of major sporting events for disadvantaged communities/individuals: a systematic review. National Institute for Health Research. https://doi.org/https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=336493

Other report

Chen, S, Veldhuijzen van Zanten, J, Quinton, M, Lee, M, Ali, T, Heyes, A, Liang, X, Alharbi, A, Carter, B, Duan, Z & Karamani, M 2023, Perceptions of the Birmingham 2022 Commonwealth Games: Legacies for Individuals and Communities from Disadvantaged Backgrounds. University of Birmingham.

Preprint

Kovatchev, V, Smith, P, Lee, M & Devine, R 2021 'Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children's mindreading ability' arXiv, pp. 1-11. <https://arxiv.org/abs/2106.01635v1>

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