Professor Ehud Reiter

Professor Ehud Reiter

Chair in Computing Science.


Contact Details

work +44 (0)1224 273443
The University of Aberdeen Meston 243
Department of Computing Science
University of Aberdeen
King's College
AB24 3UE


I split my time between Aberdeen University and Arria NLG.


Research Interests

Current Interests

  • Natural language generation
  • Data-to-text

Current Research Students

  • Jawwad Baig
  • Simone Balloccu
  • Stephanie Inglis
  • Kittipitch Kuptavanich
  • Craig Thomson
  • Allmin Pradhap Singh Susaiyah (Eindhoven) (part of PhilHumans)

Past Research Students

See my blog for a list of past research students I have supervised.


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.


I am helping with some funded projects at other universities:

Research Grants

  • Philhumans (EU) (2019-2023) - Using AI to support personal health apps.
  • NL4XAI (EU) (2019-2023) - Explaining AI reasoning in natural language

Teaching Responsibilities

  • CS4040: Research Methods
  • CS5063: Evaluation of AI Systems (MSc)
  • CS551H: Natural Language Generation (MSc)
Further Info

External Responsibilities

Admin Responsibilities

  • Research ethics


Currently viewing:

Page 1 of 12 Results 1 to 10 of 112

  • Balloccu, S, Pauws, S & Reiter, E 2020, A NLG framework for user tailoring and profiling in healthcare. in Proceedings of SmartPHIL: 1st Workshop on Smart Personal Health Interfaces. ACM, SmartPHIL, Cagliari, Italy, 17/03/20.
  • Susaiyah, A, H¨arm¨a, A, Reiter, E, Helaoui, R & Petkovi, M 2020, Towards a Generalised Framework for Behaviour Insight Mining. in Proceedings of SmartPHIL: 1st Workshop on Smart Personal Health Interfaces. ACM, SmartPHIL, Cagliari, Italy, 17/03/20.
  • García-Méndez, S, Fernández-Gavilanes, M, Costa-Montenegro, E, Juncal-Martínez, J, González-Castaño, FJ & Reiter, E 2019, 'A System for Automatic English Text Expansion', IEEE Access, vol. 7, no. 1, pp. 123320-123333. [Online] DOI:
  • Ramos, A, Alonso, JM, Reiter, E, Van Deemter, K & Gatt, A 2019, 'Fuzzy-Based Language Grounding of Geographical References: From Writers to Readers', International Journal of Computational Intelligence Systems, vol. 12, no. 2, pp. 970 - 983. [Online] DOI:
  • Pauws, S, Gatt, A, Krahmer, E & Reiter, E 2019, Making Effective Use of Healthcare Data Using Data-to-Text Technology. in S Consoli, DR Recupero & M Petkovic (eds), Data Science for Healthcare: Methodologies and Applications., 4, Springer , pp. 119-145. [Online] DOI:
  • Reiter, EB 2019, 'Natural Language Generation Challenges for Explainable AI', Paper presented at 1st Workshop on Interactive Natural Language Technology for Explainable Artificial Intelligence, Tokyo, Japan, 29/10/19 - 1/11/19.
  • Reiter, E 2018, 'A Structured Review of the Validity of BLEU', Computational Linguistics, vol. 44, no. 3, pp. 393-401. [Online] DOI:
  • Thomson, C, Reiter, E & Sripada, S 2018, Comprehension Driven Document Planning in Natural Language Generation Systems. in E Krahmer, A Gatt & M Goudbeek (eds), Proceedings of The 11th International Natural Language Generation Conference. vol. W18-65, Association for Computational Linguistics (ACL), pp. 371-380, The 11th International Natural Language Generation Conference, Tilburg, Netherlands, 5/11/18. <> [Online] DOI:
  • Inglis, S, Reiter, E & Sripada, S 2018, 'Data quality in reasoning', CEUR Workshop Proceedings, vol. 2151. <> [Online] DOI:
  • Kuptavanich, K, Reiter, E, Van Deemter, K & Siddharthan, A 2018, Generating Summaries of Sets of Consumer Products: Learning from Experiments. in Proceedings of the 11th International Conference on Natural Language Generation ., W18-6548 , ACL Anthology, pp. 403-407, 11th International Conference on Natural Language Generation (INLG 2018) , Tilburg, Netherlands, 5/11/18. <> [Online] DOI:
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