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Dr Aleksandra Edwards
(hi/ei)
BSc (Hons) MSc PhD
Timau a rolau for Aleksandra Edwards
Cydymaith Ymchwil
Trosolwyg
Mae fy ymchwil yn canolbwyntio ar Brosesu Iaith Naturiol a Deallusrwydd Artiffisial, gyda phwyslais ar ddatblygu dulliau a all weithio mewn meysydd arbenigol lle mae data yn brin. Mae gen i ddiddordeb mewn sut y gall cyfuno dysgu peirianyddol â gwybodaeth arbenigol wella perfformiad systemau AI ac agor cyfeiriadau newydd ar gyfer ymchwil. Rwy'n gydymaith ymchwil yn y Ganolfan Dysgu Gofal Cymdeithasol a Deallusrwydd Artiffisial (SCALE).
Cyhoeddiad
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)
Cynadleddau
- 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)
Erthyglau
- 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)
Gosodiad
- Edwards, A. 2022. Extracting knowledge from complex unstructured corpora: Text classification and a case study on the safeguarding domain. PhD Thesis , Cardiff University.
Bywgraffiad
Addysg a chymwysterau
2022: PhD Cyfrifiadureg, Prifysgol Caerdydd
2015: MSc Cyfrifiadureg Uwch, Prifysgol Manceinion
2014: BSc Cyfrifiadureg, Prifysgol Caerdydd