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Professor Ehud Reiter

Professor Ehud Reiter
Professor Ehud Reiter
Professor Ehud Reiter

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

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Books and Reports

Chapters in Books, Reports and Conference Proceedings

Contributions to Conferences

Contributions to Journals

Working Papers

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