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David M. Howcroft

David M. Howcroft has 2 papers in our library, in 2019–2026, most of them on Text generation; often with Ondřej Dušek, Verena Rieser.

2 papers in our library · 2019–2026

OpenAlex · ORCID · h-index 9 · 55 works · 409 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 233 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #6024

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of AberdeenAberdeen · United Kingdom2024–2026 · 3 papersEmployment since 2024 · Advanced Research Fellow, Department of Computing Sciencecurrent🎓Edinburgh Napier UniversityEdinburgh · United Kingdom2021–2024 · 10 papersEmployment 2021–2024 · Research Fellow, School of Computing🎓Saarland UniversitySaarbrücken · Germany2015–2021 · 7 papersEducation 2016–2021 · PhD, Language Science and Technology🎓Heriot-Watt UniversityEdinburgh · United Kingdom2019–2021 · 6 papersEmployment 2019–2021 · Research Associate, Mathematical and Computer Sciences🎓The Ohio State UniversityColumbus · United States2013–2015 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 1Research subjects and languages the work is about.Text generation · 2 works

 Works by year

2020s

20261 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Semantic Noise Matters for Neural Natural Language Generation (2019 · 164 citations)
    Neural generators that turn meaning representations (MRs) into text often produce output that does not match their input.
  2. RAG as a collapsed NLG pipeline (2026)
    The paper asks how Retrieval-Augmented Generation (RAG) relates to the three-stage data-to-text architecture of Reiter and Dale (1997): document planning, microplanning and surface realisation.

All works

5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definitions ↗Proceedings of the 13th International Conference on Natural Language Generation · no summary yetDavid M. Howcroft et al.2020 · 277 citations
  2. Semantic Noise Matters for Neural Natural Language GenerationInternational Natural Language Generation Conference (INLG)Ondřej Dušek, David M. Howcroft, Verena Rieser2019 · 164 citations
  3. G-TUNA: a corpus of referring expressions in German, including duration information ↗Proceedings of the 10th International Conference on Natural Language Generation · no summary yetDavid Howcroft, Jorrig Vogels, Vera Demberg2017 · 8 citations
  4. Toward Bayesian Synchronous Tree Substitution Grammars for Sentence Planning ↗Proceedings of the 11th International Conference on Natural Language Generation · no summary yetDavid M. Howcroft, Dietrich Klakow, Vera Demberg2018 · 3 citations
  5. RAG as a collapsed NLG pipelineSymposium on Natural Language Generation EvaluationsAdarsa Sivaprasad, Barkavi Sundararajan, David M. Howcroft2026

 Co-authors here

2 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 233 times (of the 149,439 papers whose bibliographies we read); 31 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/david-m-howcroft/