Dr Mark Lee

Dr Mark Lee

School of Computer Science
Head of School
Senior Lecturer

Contact details

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

Dr Mark Lee is a Senior Lecturer and Head of School 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 homepage.

Publications

Recent publications

Article

Weber, P, Ferreira Filho, JB, Bordbar, B, Lee, M, Litchfield, I & Backman, R 2018, 'Automated Conflict Detection Between Medical Care Pathways', Journal of software: Evolution and Process, vol. 30, no. 7, e1898. https://doi.org/10.1002/smr.1898

Litchfield, I, Hoye, C, Shukla, D, Backman, R, Turner, A, Lee, M & Weber, P 2018, 'Can process mining automatically describe care pathways of patients with long-term conditions in UK primary care? a study protocol', BMJ open, vol. 8, no. 12, e019947. https://doi.org/10.1136/bmjopen-2017-019947

Backman, R, Weber, P, Turner, A, Lee, M & Litchfield, I 2017, 'Assessing the extent of drug interactions among patients with multimorbidity in primary and secondary care in the West Midlands (UK): a study protocol for the Mixed Methods Multimorbidity Study (MiMMS)', British Medical Journal Open, vol. 7, e016713. https://doi.org/10.1136/bmjopen-2017-016713

Chapter (peer-reviewed)

Kovatchev, V, Smith, P, Lee, M, Grumley Traynor, I, Luque Aguilera, I & Devine, RT 2020, What is on your mind? Automated scoring of mindreading in childhood and early adolescence. in D Scott, N Bel & C Zong (eds), Proceedings of the 28th International Conference on Computational Linguistics. International Committee on Computational Linguistics, Barcelona, Spain, pp. 6217, International Conference on Computational Linguistics , Barcelona, Spain, 8/12/20. https://doi.org/10.18653/v1/2020.coling-main.547

Conference contribution

Kovatchev, V, Smith, P, Lee, M & Devine, RT 2021, Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children’s mindreading ability. in Proceedings of the 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. Association for Computational Linguistics, ACL.

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, Combining Character and Word Embeddings for the Detection of Offensive Language in Arabic. in H Al-Khalifa, W Magdy, K Darwish, T Elsayed & H Mubarak (eds), Proceedings of the 4th Workshop on Open-Source Arabic Corpora and Processing Tools, with a Shared Task on Offensive Language Detection: at LREC 2020 - Language Resources and Evaluation Conference. European Language Resources Association (ELRA), pp. 91-96, 4th Workshop on Open-Source Arabic Corpora and Processing Tools, with a Shared Task on Offensive Language Detection (OSACT4 2020), Marseille, France, 11/05/20. <https://www.aclweb.org/anthology/2020.osact-1.15.pdf>

Alharbi, AI & Lee, M 2020, Combining character and word embeddings for affect in arabic informal social media microblogs. in E Métais, F Meziane, H Horacek & P Cimiano (eds), Natural Language Processing and Information Systems - 25th International Conference on Applications of Natural Language to Information Systems, NLDB 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12089 LNCS, Springer Vieweg, pp. 213-224, 25th International Conference on Applications of Natural Language to Information Systems, NLDB 2020, Saarbrücken, Germany, 24/06/20. https://doi.org/10.1007/978-3-030-51310-8_20

Hassan, FM & Lee, M 2020, Multi-stage News-Stance Classification Based on Lexical and Neural Features. in Á Herrero, C Cambra, D Urda, J Sedano, H Quintián & E Corchado (eds), 13th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2020)., Chapter 21, Advances in Intelligent Systems and Computing, vol. 1267, Springer, pp. 218-228, 13th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2020), Burgos, Spain, 16/09/20. https://doi.org/10.1007/978-3-030-57805-3_21

Hassan, FM & Lee, M 2020, Political Fake Statement Detection via Multistage Feature-assisted Neural Modeling. in Proceedings - 2020 IEEE International Conference on Intelligence and Security Informatics, ISI 2020., 9280531, Proceedings - 2020 IEEE International Conference on Intelligence and Security Informatics, ISI 2020, Institute of Electrical and Electronics Engineers (IEEE), 18th IEEE International Conference on Intelligence and Security Informatics, ISI 2020, Virtual, Arlington, United States, 9/11/20. https://doi.org/10.1109/ISI49825.2020.9280531

Alharbi, AAH & Lee, M 2019, Crisis detection from Arabic tweets. in Proceedings of the 3rd Workshop on Arabic Corpus Linguistics. Association for Computational Linguistics, ACL, pp. 72-79, The 3rd Workshop on Arabic Corpus Linguistics (WACL-3), Cardiff, United Kingdom, 22/07/19. <https://www.aclweb.org/anthology/W19-5609>

Hassan, F & Lee, M 2019, Imbalanced stance detection by combining neural and external features. in C Martin-Vide, M Purver & S Pollack (eds), Statistical Language and Speech Processing: 7th International Conference, SLSP 2019, Ljubljana, Slovenia, October 14–16, 2019, Proceedings. Lecture Notes in Computer Science, vol. 11816, Springer, pp. 273-285. https://doi.org/10.1007/978-3-030-31372-2_23

Weber, P, Backman, R, Litchfield, I & Lee, M 2018, A process mining and text analysis approach to analyse the extent of polypharmacy in medical prescribing. in The Sixth IEEE International Conference on Healthcare Informatics (ICHI 2018). IEEE Xplore, The Sixth IEEE International Conference on Healthcare Informatics , New York City, United States, 4/06/18. https://doi.org/10.1109/ICHI.2018.00008

Tayyar Madabushi, H, Lee, M & Barnden, J 2018, Integrating question classification and deep learning for improved answer selection. in Proceedings of the 27th International Conference on Computational Linguistics. Association for Computational Linguistics, ACL, pp. 3283-3294, The 27th International Conference on Computational Linguistics , Santa Fe, New-Mexico, United States, 20/08/18. <https://aclweb.org/anthology/papers/C/C18/C18-1278/>

Paper

Weber, P, Ferreira Filho, JB, Bordbar, B, Lee, M, Litchfield, I & Backman, R 2017, 'Automated Conflict Detection Between Medical Care Pathways', Paper presented at International Conference on Software and Systems Processes, Paris, France, 5/07/17 - 7/07/17.

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