Chair in Computing Science
- About
-
- Email Address
- e.reiter@abdn.ac.uk
- Telephone Number
- +44 (0)1224 273443
- Office Address
Meston 243
Department of Computing Science
University of Aberdeen
King's College
Aberdeen
AB24 3UE- School/Department
- School of Natural and Computing Sciences
Biography
I have taught computing science and done research in Natural Language Generation at Aberdeen since 1995. I expect to retire in 2026 or 2027. For more information about me, please see my personal webpage ehudreiter.com
Internal Memberships
- Research ethics
- Research
-
Research Overview
Current Interests
- Natural language generation
- Data-to-text
- Medical applications
Current Research Students
- Nikolai Babakov (Santiago de Compostela)
- Jawwad Baig
- Giulia Pucci
- Adarsa Sivaprasad
- Mengxuan Sun
- Barkavi Sundararajan
- Iniakpokeikiye Thompson
Current Postdocs
- David Howcroft
Past Research Students
See my blog for a list of past research students I have supervised.
CLAN
The CLAN (Computational Linguistics at Aberdeen) resesarch group meets at 4PM every Wednesday. Every week we discuss a research paper, idea, proposal, etc. CLAN meetings are open to everyone, contact me for more information or to be put on the mailing list.
I sometimes tweet CLAN information on @EhudReiter. Feel free to subscribe, most of my tweets are relevant to NLG research. Similarly my blog (ehudreiter.com) is mostly about NLG research.
Current Research
My current research focuses on (A) evaluation of natural language generation and (B) using AI and NLG to support patients, especially in their homes.
Funding and Grants
- Philhumans (EU) (2019-2023) - Using AI to support personal health apps.
- NL4XAI (EU) (2019-2024) - Explaining AI reasoning in natural language
- ReproHum (EPSRC) (2021-2024) - Investigating Reproducibility of Human Evaluations in Natural Language Processing
- ASICA (Cancer Research UK) (2024-2026): Achieving Self-directed Integrated Cancer Aftercare (ASICA) in melanoma
- Al-ʿĀmīyah (Colloquial Arabic) and generative AI (Royal Society Edinburgh) (2024-2025)– a snapshot of its emerging text-to-text abilities
- Teaching
-
Teaching Responsibilities
- Publications
-
Page 1 of 17 Results 1 to 10 of 165
Reusability of Bayesian Networks case studies: a survey
Applied Intelligence, vol. 417, 417Contributions to Journals: ArticlesScalability of Bayesian Network Structure Elicitation with Large Language Models: a Novel Methodology and Comparative Analysis
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsAsk the experts: sourcing a high-quality nutrition counseling dataset through Human-AI collaboration
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsNatural Language Generation
Springer. 202 pagesBooks and Reports: Books- [ONLINE] DOI: https://doi.org/10.1007/978-3-031-68582-8
Improving Factual Accuracy of Neural Table-to-Text Output by Addressing Input Problems in ToTTo
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsCommon Flaws in Running Human Evaluation Experiments in NLP
Computational Linguistics, vol. 50, no. 2, pp. 795–805Contributions to Journals: ArticlesLinguistically Communicating Uncertainty in Patient-Facing Risk Prediction Models
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsSmartphone-based extendable telematic data collection app
Software Impacts, vol. 19, 100601Contributions to Journals: ArticlesEvaluation of Human-Understandability of Global Model Explanations Using Decision Tree
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1007/978-3-031-50396-2_3
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstream/2164/22828/1/Sivaprasad_etal_ECAI_Evaluation_of_Human_VOR.pdf
- [ONLINE] View publication in Scopus
- [ONLINE] https://ecai2023.eu/
- [ONLINE] https://xai3ecai2023.github.io/
Explaining Bayesian Networks in Natural Language using Factor Arguments: Evaluation in the medical domain
Contributions to Conferences: Papers