![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 6 of 16 Results 51 to 60 of 160
A Structured Review of the Validity of BLEU
Computational Linguistics, vol. 44, no. 3, pp. 393-401Contributions to Journals: ArticlesSaferDrive: An NLG-based behaviour change support system for drivers
Natural Language Engineering, vol. 24, no. 4, pp. 551-588Contributions to Journals: ArticlesData quality in reasoning
Contributions to Journals: Conference ArticlesComprehension Driven Document Planning in Natural Language Generation Systems
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsModelado borroso de referencias geograficas textuales sobre datos de expertos
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsAn Exploratory Study on the Benefits of using Natural Language for Explaining Fuzzy Rule-based Systems
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/FUZZ-IEEE.2017.8015489
Natural Language Generation with Computational Intelligence
IEEE Computational Intelligence Magazine, vol. 12, no. 3, pp. 8-9Contributions to Journals: Editorials- [ONLINE] DOI: https://doi.org/10.1109/MCI.2017.2708919
A Commercial Perspective on Reference
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.18653/v1/W17-3519
An Empirical Approach for Modeling Fuzzy Geographical Descriptors
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/FUZZ-IEEE.2017.8015527
Textually Summarising Incomplete Data
Contributions to Conferences: Papers