Professor Ehud Reiter

Professor Ehud Reiter

Chair in Computing Science.


Contact Details

work +44 (0)1224 273443
The University of Aberdeen Office: Meston 243
Post: Department of Computing Science, University of Aberdeen, King's College, Aberdeen AB24 3UE, BRITAIN
Web Links


Twitter:  @EhudReiter


I split my time between Aberdeen University and Arria NLG.


Research Interests

Interests: natural language generation, data-to-text

Current research students: Stephanie Inglis, Kittipitch Kuptavanich, Craig Thomson

Current post-docs: Alejandro Ramos Soto

Past research students

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 try to tweet CLAN information on @EhudReiter.  Feel free to subscribe, most of my tweets are relevant to NLG research.  Similarly my blog ( is mostly about NLG research.


Teaching Responsibilities

CS4040: Research Methods

CS5063: Evaluation of AI Systems

Further Info

Admin Responsibilities




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Contributions to Journals


  • Tintarev, N., Reiter, E., Black, R., Waller, A. & Reddington, J. (2016). 'Personal Storytelling: Using Natural Language Generation for Children with Complex Communication Needs, in the Wild'. International Journal of Human Computer Studies, vol 92-93, pp. 1-16.
    [Online] DOI: 10.1016/j.ijhcs.2016.04.005
    [Online] AURA: HWST_IJHCS_preprint.pdf
  • Schneider, AH., Mort, A., Kindness, P., Mellish, C., Reiter, E. & Wilson, P. (2015). 'Using Technology to Enhance Rural Resilience in Pre-hospital Emergencies'. Scottish Geographical Journal, vol 131, no. 3-4, pp. 194-200.
    [Online] DOI: 10.1080/14702541.2014.978810
    [Online] AURA: 14702541_2E2014_2E978810.pdf
  • Moncur, W., Masthoff, J., Reiter, E., Freer, Y. & Nguyen, H. (2014). 'Providing adaptive health updates across the personal social network'. Human-Computer Interaction, vol 29, no. 3, pp. 256-309.
    [Online] DOI: 10.1080/07370024.2013.819218
    [Online] AURA: Providing_adaptive_health_updates.pdf
  • Hunter, J., Freer, Y., Gatt, A., Reiter, E., Sripada, S. & Sykes, C. (2012). 'Automatic generation of natural language nursing shift summaries in neonatal intensive care: BT-Nurse'. Artificial Intelligence in Medicine, vol 56, no. 3, pp. 157-172.
    [Online] DOI: 10.1016/j.artmed.2012.09.002
  • Black, R., Waller, A., Turner, RJ. & Reiter, EB. (2012). 'Supporting Personal Narrative for Children with Complex Communication Needs'. ACM Transactions on Computer-Human Interaction, vol 19, no. 2, 15.
    [Online] DOI: 10.1145/2240156.2240163
  • Hunter, J., Freer, Y., Gatt, A., Reiter, E., Sripada, S., Sykes, C. & Westwater, D. (2011). 'BT-Nurse: computer generation of natural language shift summaries from complex heterogeneous medical data'. Journal of the American Medical Informatics Association, vol 18, no. 5, pp. 621-624.
    [Online] DOI: 10.1136/amiajnl-2011-000193
  • Moncur, W., Reiter, EB., Masthoff, J. & Carmichael, A. (2010). 'Modeling the Socially Intelligent Communication of Health Information to a Patient's Personal Social Network'. IEEE Transactions on Information Technology in Biomedicine, vol 14, no. 2, pp. 319-325.
    [Online] DOI: 10.1109/TITB.2009.2035361
  • McKinlay, A., McVittie, C., Reiter, EB., Freer, Y., Sykes, C. & Logie, R. (2010). 'Design Issues for Socially Intelligent User Interfaces A Discourse Analysis of a Data-to-text System for Summarizing Clinical Data'. Methods of Information in Medicine, vol 49, no. 4, pp. 379-387.
    [Online] DOI: 10.3414/ME0613
  • Reiter, EB. & Belz, A. (2009). 'An Investigation into the Validity of Some Metrics for Automatically Evaluating Natural Language Generation Systems'. Computational Linguistics, vol 35, no. 4, pp. 529-558.
    [Online] DOI: 10.1162/coli.2009.35.4.35405
  • Portet, F., Reiter, E., Gatt, A., Hunter, J., Sripada, S., Freer, Y. & Sykes, C. (2009). 'Automatic generation of textual summaries from neonatal intensive care data'. Artificial Intelligence, vol 173, no. 7-8, pp. 789-816.
    [Online] DOI: 10.1016/j.artint.2008.12.002
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