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Diana Maynard

Diana Maynard has 3 papers in our library, in 2014–2026, most of them on Sentiment & emotion, Multilingual & cross-lingual NLP.

3 papers in our library · 2014–2026

OpenAlex · ORCID · Wikidata · h-index 35 · 223 works · 5,117 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 88 times in our library · ⭐ Paper Stars ranking: #4140

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 SheffieldSheffield · United Kingdom2000–2026 · 125 papersEmployment since 2000 · Senior Research Fellow, Computer Sciencecurrent🎓University of ManchesterManchester · United Kingdom1991–2024 · 2 papersEducation 2005–2006 · MSc Cognitive Science, Computer Science🎓Manchester Metropolitan UniversityManchester · United Kingdom2007–2009Education 2007–2009 · PhD, Computer Science
🏛️UMISTManchester · United Kingdom1991–1995Education 1991–1995 · BSc Computational Linguistics and Modern Languages, Language and Linguistics

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 2 worksExperimental and Cognitive Psychology · 1 workPsychology · 1 workInformation Systems · 2 worksDecision Sciences · 1 workInformation Systems and Management · 1 workStatistics, Probability and Uncertainty · 1 work

🧭 Topics 2Research subjects and languages the work is about.Sentiment & emotion · 1 workMultilingual & cross-lingual NLP · 1 work

 Works by year

2020s

20262 papers

2010s

20141 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Who cares about Sarcastic Tweets? Investigating the Impact of Sarcasm on Sentiment Analysis. (2014 · 437 citations)
    Sentiment tools for social media usually ignore sarcasm. It is hard to handle, and it can reverse or distort the polarity a tweet expresses. Earlier work mostly stopped at labelling a text as sarcastic or not. This paper asks what to do with sentiment after sarcasm has been detected. The authors look at the scope of…
  2. Demystifying Funding: Reconstructing a Unified Dataset of the UK Funding Lifecycle (2026)
    UKRI's Gateway to Research (GtR) records funded UK projects. It does not connect them to the funding calls that produced them, and it says nothing about proposals that panels rejected or postponed. This blocks fairness research on the stages before an award. The authors fill this gap by combining three sources into…
  3. TAMA: Target-Aware Multilingual Abuse Detection by Cascaded Conditional Multi-Task Learning (2026)
    Most moderation systems label a post as abusive or not and ignore who is being attacked. This makes it hard to separate legitimate criticism of public figures from harassment aimed at a specific person. The authors address this with TAMA, a multilingual benchmark of 9,386 X (Twitter) posts addressed to five…

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 88 times (of the 149,439 papers whose bibliographies we read); 63 citing papers with a page here →.

Updated

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