Chair in Computing Science
- About
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- 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 summer 2026. For more information about me, please see my personal webpage ehudreiter.com
I was Chief Scientist at Arria NLG (a spinout I cofounded in 2010) for many years, but now I just work at Aberdeen Uni.
Internal Memberships
- Research ethics
- Research
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Research Overview
Current Interests
- Natural language generation
- Data-to-text
- Medical applications
Current Research Students
- Nikolai Babakov (Santiago de Compostela)
- Jawwad Baig
- Adarsa Sivaprasad
- Mengxuan Sun
- Barkavi Sundararajan
- Iniakpokeikiye Thompson
- Yujun Wang
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
- 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
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Teaching Responsibilities
- Publications
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Evaluation of Human-Understandability of Global Model Explanations using Decision Tree
Working Papers: Preprint Papers- [ONLINE] http://arxiv.org/abs/2309.09917v1
- [ONLINE] https://ecai2023.eu/
- [ONLINE] https://xai3ecai2023.github.io/
Enhancing Factualness and Controllability of Data-to-Text Generation via Data Views and Constraints
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsSmart Selection of Useful Insights from Wearables
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/ICASSPW59220.2023.10193140
- [ONLINE] View publication in Scopus
Non-Repeatable Experiments and Non-Reproducible Results: The Reproducibility Crisis in Human Evaluation in NLP
Findings of the Association for Computational Linguistics: ACL 2023. Rogers, A., Boyd-Graber, J., Okazaki, N. (eds.). Association for Computational Linguistics, pp. 3676-3687, 12 pagesChapters in Books, Reports and Conference Proceedings: ChaptersInfluence of context on users’ views about explanations for decision-tree predictions
Computer Speech & Language, vol. 81, 101483Contributions to Journals: ArticlesEvaluating factual accuracy in complex data-to-text
Computer Speech & Language, vol. 80, 101482Contributions to Journals: ArticlesMissing Information, Unresponsive Authors, Experimental Flaws: The Impossibility of Assessing the Reproducibility of Previous Human Evaluations in NLP
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsAre Experts Needed?: On Human Evaluation of Counselling Reflection Generation
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsConsultation Checklists: Standardising the Human Evaluation of Medical Note Generation
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsError Analysis of ToTTo Table-to-Text Neural NLG Models
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings