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 7 of 7 Results 151 to 160 of 160
Using a randomised controlled clinical trial to evaluate an NLG system
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsBuilding Natural-Language Generation Systems
Cambridge University PressBooks and Reports: BooksKnowledge acquisition for natural language generation
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] View publication in Scopus
Pipelines and size constraints
Computational Linguistics, vol. 26, pp. 251-259Contributions to Journals: ArticlesTypes of knowledge required to personalise smoking cessation letters
Artificial Intelligence in Medicine, vol. 1620, pp. 389-399Contributions to Journals: ArticlesBuilding Applied Natural-Language Generation Systems
Natural Language Engineering, vol. 3, pp. 57Contributions to Journals: ArticlesCustomizable descriptions of object-oriented models
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] View publication in Scopus
Computational interpretations of the Gricean maxims in the generation of referring expressions
Cognitive Science, vol. 19, no. 2, pp. 233-263Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1016/0364-0213(95)90018-7
AUTOMATIC-GENERATION OF TECHNICAL DOCUMENTATION
Applied Artificial Intelligence, vol. 9, no. 3, pp. 259-287Contributions to Journals: ArticlesA New Model of Lexical Choice for Nouns
Computational Intelligence, vol. 7, pp. 240Contributions to Journals: Articles