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

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

Devine, RT, Kovatchev, V, Grumley Traynor, I, Smith, P & Lee, M 2022, 'Machine learning and deep learning systems for automated measurement of ‘advanced’ theory of mind: reliability and validity in children and adolescents', Psychological Assessment.

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

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), 5th Workshop Open-Source Arabic Corpora and Processing Tools with Shared Tasks on Qur'an QA and Fine-Grained Hate Speech Detection, OSACT 2022 - Proceedings at Language Resources and Evaluation Conference, LREC 2022. 5th Workshop Open-Source Arabic Corpora and Processing Tools with Shared Tasks on Qur'an QA and Fine-Grained Hate Speech Detection, OSACT 2022 - Proceedings at Language Resources and Evaluation Conference, LREC 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.

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

Gokhan, T, Smith, P & Lee, M 2021, Extractive financial narrative summarisation using SentenceBERT-based clustering. in Proceedings of the 3rd Financial Narrative Processing Workshop FNP 2021., 18, Proceedings of the conference - Association for Computational Linguistics. Meeting, Association for Computational Linguistics, ACL, pp. 94-98, 3rd Financial Narrative Processing Workshop, FNP 2021, Lancaster, United Kingdom, 15/09/21. <https://aclanthology.org/2021.fnp-1.18.pdf>

Alharbi, AI & Lee, M 2021, Multi-task learning using a combination of contextualised and static word embeddings for Arabic sarcasm detection and sentiment analysis. in N Habash, H Bouamor, H Hajj, W Magdy, W Zaghouani, F Bougares, N Tomeh, IA Farha & S Touileb (eds), Proceedings of the Sixth Arabic Natural Language Processing Workshop. Association for Computational Linguistics, ACL, pp. 318-322, 6th Arabic Natural Language Processing Workshop, WANLP 2021, Kyiv, Ukraine, 19/04/21. <https://aclanthology.org/2021.wanlp-1.39>

Laureano De Leon, FA, Tayyar Madabushi, H & Lee, M 2021, UoB at ProfNER 2021: data augmentation for classification using machine translation. in A Magge, A Klein, A Miranda-Escalada, MA Al-garadi, I Alimova, Z Miftahutdinov, E Farre-Maduell, S Lima-Lopez, I Flores, K O'Connor, D Weissenbacher, E Tutubalina, A Sarker, JM Banda, M Krallinger & G Gonzalez-Hernandez (eds), Proceedings of the Sixth Social Media Mining for Health (#SMM4H) Workshop and Shared Task. Social Media Mining for Health (SMM4H), Association for Computational Linguistics, ACL, pp. 115–117, 6th Workshop and Shared Tasks on Social Media Mining for Health, SMM4H 2021, Mexico City, Mexico, 10/06/21. https://doi.org/10.18653/v1/2021.smm4h-1.23

Li, W, Madabushi, HT & Lee, M 2021, UoB_UK at SemEval 2021 task 2: zero-shot and few-shot learning for multi-lingual and cross-lingual word sense disambiguation. in A Palmer, N Schneider, N Schluter, G Emerson, A Herbelot & X Zhu (eds), Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021). Lexical and Computational Semantics and Semantic Evaluation (formerly Workshop on Sense Evaluation) (SemEval), Association for Computational Linguistics, ACL, pp. 738-742, 15th International Workshop on Semantic Evaluation, SemEval 2021, Virtual, Bangkok, Thailand, 5/08/21. https://doi.org/10.18653/v1/2021.semeval-1.97

Alnafesah, G, Tayyar Madabushi, H & Lee, M 2020, Augmenting Neural Metaphor Detection with Concreteness. in B Beigman Klebanov, E Shutova , P Lichtenstein, S Muresan, C Wee, A Feldman & D Ghosh (eds), Proceedings of the Second Workshop on Figurative Language Processing. Association for Computational Linguistics, ACL, pp. 204-210, Second Workshop on Figurative Language Processing (FigLang2020), Virtual event, 9/07/20. <https://www.aclweb.org/anthology/2020.figlang-1.28>

Alharbi, AI & Lee, M 2020, BhamNLP at SemEval-2020 Task 12: An Ensemble of Different Word Embeddings and Emotion Transfer Learning for Arabic Offensive Language Identification in Social Media. in A Herbelot, X Zhu, A Palmer, N Schneider, J May & E Shutova (eds), 14th International Workshops on Semantic Evaluation, SemEval 2020 - co-located 28th International Conference on Computational Linguistics, COLING 2020, Proceedings. 14th International Workshops on Semantic Evaluation, SemEval 2020 - co-located 28th International Conference on Computational Linguistics, COLING 2020, Proceedings, International Committee for Computational Linguistics, pp. 1532-1538, 14th International Workshops on Semantic Evaluation, SemEval 2020, Barcelona, Spain, 12/12/20.

Other contribution

Liang, X, Chen, S, Quinton, M, Veldhuijzen van Zanten, J, 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

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. <https://arxiv.org/abs/2106.01635v1>

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