![Professor Ehud Reiter Professor Ehud Reiter](/img/200x200/staffpages/uploads/csc157/avatar/mjz3CntcpVU7tFQRdOlQHZYx84R71ZDCjRBLd4p5.jpeg)
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 2026 or 2027. For more information about me, please see my personal webpage ehudreiter.com
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
- Giulia Pucci
- Adarsa Sivaprasad
- Mengxuan Sun
- Barkavi Sundararajan
- Iniakpokeikiye Thompson
- Allmin Pradhap Singh Susaiyah (Eindhoven)
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
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Teaching Responsibilities
- Publications
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Page 14 of 16 Results 131 to 140 of 160
Evaluating an NLG system using post-editing
Contributions to Journals: Conference Articles- [ONLINE] View publication in Scopus
Choosing Words in Computer-Generated Weather Forecasts
Artificial Intelligence, vol. 167, pp. 137-169Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1016/j.artint.2005.06.006
Connecting language to the world
Artificial Intelligence, vol. 167, pp. 112Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1016/j.artint.2005.06.002
Lessons from deploying NLG technology for marine weather forecast text generation
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsContextual influences on near-synonym choice
The Third International Conference on Natural Language Generation (INLG). Springer, 10 pagesChapters in Books, Reports and Conference Proceedings: ChaptersGenerating English Summaries of Time Series Data Using the Gricean Maxims
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2003). ACM Press, pp. 187-196Chapters in Books, Reports and Conference Proceedings: Chapters- [ONLINE] DOI: https://doi.org/10.1145/956750.956774
Lessons from a failure: Generating tailored smoking cessation letters.
Artificial Intelligence, vol. 144, no. (1-2), pp. 41-58Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1016/S0004-3702(02)00370-3
Acquiring Correct Knowledge for Natural Language Generation
Journal of Artificial Intelligence Research, vol. 18, pp. 491-516Contributions to Journals: ArticlesAcquiring and using limited user models in NLG
Contributions to Conferences: Papers- [ONLINE] https://aclanthology.org/W03-2312.pdf
- [ONLINE] View publication in Scopus
Electronic transfer of prescription-related information: comparing views of patients, general practitioners, and pharmacists
The British Journal of General Practice, vol. 53, no. 488, pp. 204-209Contributions to Journals: Articles