![Aleksandra Edwards BSc (Hons) MSc PhD](https://profiles-cardiff.imgix.net/attachments/8770?w=200&h=200&auto=format&crop=faces&fit=crop&q=90")
Dr Aleksandra Edwards
(she/her)
BSc (Hons) MSc PhD
Teams and roles for Aleksandra Edwards
Research Associate
Overview
My research focuses on Natural Language Processing and Artificial Intelligence, with an emphasis on developing methods that can work in specialised areas where data is scarce. I am interested in how combining machine learning with expert knowledge can improve the performance of AI systems and open up new directions for research. I am a research associate at the Centre for Social Care and Artificial Intelligence Learning (SCALE).
Publication
2026
- Jha, D. N. et al., 2026. EVECTOR: An Orchestrator for Analysing Attacks in Electric Vehicle Charging Systems. IET Intelligent Transport Systems 20 (1) e70324. (10.1049/itr2.70324)
2025
- Edwards, A. et al. 2025. Large language model–supported identification of intellectual disabilities in clinical free-text summaries: mixed methods study. JMIR AI 4 e72256. (10.2196/72256)
- Edwards, A. and Camacho-Collados, J. 2025. Language models for text classification: is in-context learning enough?. Presented at: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) Torino, Italy 20 - 25 May, 2024. Published in: Calzolari, N. et al., Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Torino, Italy: ELRA and ICCL. , pp.10058-10072.
2022
- Edwards, A. et al. 2022. Guiding generative language models for data augmentation in few-shot text classification. Presented at: DaSH 2022 Abu Dhabi, United Arab Emirates (Hybrid) 08 December 2022. Published in: Dragut, E. et al., Proceedings of the Fourth Workshop on Data Science with Human-in-the-Loop (Language Advances). Abu Dhabi, United Arab Emirates: ACL. , pp.51-63.
- Edwards, A. 2022. Extracting knowledge from complex unstructured corpora: Text classification and a case study on the safeguarding domain. PhD Thesis , Cardiff University.
2020
- Edwards, A. et al. 2020. Go simple and pre-train on domain-specific corpora: on the role of training data for text classification. Presented at: 28th International Conference on Computational Linguistics Barcelona, Spain 8-13 December 2020. Published in: Scott, D. , Bel, N. and Zong, C. eds. Proceedings of the 28th International Conference on Computational Linguistics. International Committee on Computational Linguistics. , pp.5522–5529. (10.18653/v1/2020.coling-main.481)
2019
- Edwards, A. , Preece, A. D. and De Ribaupierre, H. 2019. Knowledge extraction from a small corpus of unstructured safeguarding reports. Presented at: 16th ESWC 2019 Portoroz, Slovenia 2-6 June 2019. Published in: Hitzler, P. et al., The Semantic Web: ESWC 2019 Satellite Events. ESWC 2019. Vol. 11762.Lecture Notes in Computer Science Cham: Springer. , pp.38-42. (10.1007/978-3-030-32327-1_8)
Articles
- Jha, D. N. et al., 2026. EVECTOR: An Orchestrator for Analysing Attacks in Electric Vehicle Charging Systems. IET Intelligent Transport Systems 20 (1) e70324. (10.1049/itr2.70324)
- Edwards, A. et al. 2025. Large language model–supported identification of intellectual disabilities in clinical free-text summaries: mixed methods study. JMIR AI 4 e72256. (10.2196/72256)
Conferences
- Edwards, A. and Camacho-Collados, J. 2025. Language models for text classification: is in-context learning enough?. Presented at: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024) Torino, Italy 20 - 25 May, 2024. Published in: Calzolari, N. et al., Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). Torino, Italy: ELRA and ICCL. , pp.10058-10072.
- Edwards, A. et al. 2022. Guiding generative language models for data augmentation in few-shot text classification. Presented at: DaSH 2022 Abu Dhabi, United Arab Emirates (Hybrid) 08 December 2022. Published in: Dragut, E. et al., Proceedings of the Fourth Workshop on Data Science with Human-in-the-Loop (Language Advances). Abu Dhabi, United Arab Emirates: ACL. , pp.51-63.
- Edwards, A. et al. 2020. Go simple and pre-train on domain-specific corpora: on the role of training data for text classification. Presented at: 28th International Conference on Computational Linguistics Barcelona, Spain 8-13 December 2020. Published in: Scott, D. , Bel, N. and Zong, C. eds. Proceedings of the 28th International Conference on Computational Linguistics. International Committee on Computational Linguistics. , pp.5522–5529. (10.18653/v1/2020.coling-main.481)
- Edwards, A. , Preece, A. D. and De Ribaupierre, H. 2019. Knowledge extraction from a small corpus of unstructured safeguarding reports. Presented at: 16th ESWC 2019 Portoroz, Slovenia 2-6 June 2019. Published in: Hitzler, P. et al., The Semantic Web: ESWC 2019 Satellite Events. ESWC 2019. Vol. 11762.Lecture Notes in Computer Science Cham: Springer. , pp.38-42. (10.1007/978-3-030-32327-1_8)
Thesis
- Edwards, A. 2022. Extracting knowledge from complex unstructured corpora: Text classification and a case study on the safeguarding domain. PhD Thesis , Cardiff University.
Biography
Education and qualifications
2022: PhD Computer Science, Cardiff University
2015: MSc Advanced Computer Science, University of Manchester
2014: BSc Computer Science, Cardiff University