Diana Maynard
Diana Maynard is a researcher whose work spans language tools, fake-news detection and online abuse. She studied computational linguistics and French at UMIST, cognitive science at Manchester, and natural language processing at Manchester Metropolitan University, then joined Sheffield's Computer Science Department in 2000 and coauthored work on GATE. At Sheffield, she led European NLP projects, coauthored a book on the Semantic Web, and contributed to research on journalist safety. Her later papers address few-shot fake-news detection and multilingual abuse detection; as of October 2026, she is a Senior Research Fellow and deputy head of Sheffield's Natural Language Processing group.
- Now at
- University of Sheffield
- Works
- 223
- Citations
- 5,200
- h-index
- 35
- Badges
Publication numbers from OpenAlex, as of 19 October 2026.
Timeline
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1991–2000
Degrees in language science
She completes a BSc in Computational Linguistics and French at UMIST (1991–1995), an MSc in Cognitive Science at the University of Manchester (1995–1996), and a PhD in Natural Language Processing at Manchester Metropolitan University (1997–2000).
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2000–2010
Research associate at Sheffield
She joins the University of Sheffield's Computer Science Department as a Research Associate in 2000. In 2002, she coauthors “GATE: an Architecture for Development of Robust HLT applications.”
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2010–2019
European NLP project leadership
She becomes a Research Fellow in Sheffield's Computer Science Department in 2010. She serves as principal investigator for the EU projects KNOWMAK (2017–2019), on term extraction and ontology creation, and COMRADES (2016–2018), on social-media analysis for disaster management.
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2017
A Semantic Web NLP book
She coauthors Natural Language Processing for the Semantic Web, published by Springer International Publishing in 2017.
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2020–2022
Research on journalist safety
She coauthors a 2020 paper that proposes an events-based method for monitoring violations against journalists. In 2022, she is one of the senior researchers on The Chilling, an ICFJ and UNESCO study of online violence against women journalists.
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2024–2025
Few-shot fake-news detection
She coauthors Cross-Modal Augmentation (CMA), which adds unimodal features to multimodal features for few-shot fake-news detection. The preprint appears on arXiv in 2024, and the journal article appears in Engineering Applications of Artificial Intelligence in 2025.
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2026
A target-aware abuse benchmark
In 2026, she coauthors TAMA, a target-aware multilingual abuse detection paper that introduces a benchmark of 9,386 posts on X aimed at public figures.
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As of October 2026
Deputy head of NLP
As of October 2026, she is a Senior Research Fellow and Deputy Head of the Natural Language Processing research group at the University of Sheffield.
Career
- Since 2000University of SheffieldResearch Associate, Research Fellow
Education
Most-cited works
- Who cares about Sarcastic Tweets? Investigating the Impact of Sarcasm on Sentiment Analysis
- Analysis of named entity recognition and linking for tweets
- The Semantic Web - ISWC 2008With Amit Sheth, Demetri Terzopoulos, Gerhard Weikum, John C. Mitchell, Jon Kleinberg and Madhu Sudan
- Automatic Detection of Political Opinions in Tweets
- Evolving GATE to meet new challenges in language engineering
Sources and credits
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- Diana Maynard CV
- Diana Maynard - ACL Anthology
- Diana Maynard - Research Interests
- Dr Diana Maynard | Computer Science | The University of Sheffield
- Strengthening the Monitoring of Violations against Journalists through an Events-Based Methodology | Article | Media and Communication
- CFOM Researchers contribute to ground-breaking study on violence against women journalists published by the ICFJ | The Centre for Freedom of the Media
- [2407.12880] Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection

