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Jeremy Barnes

Jeremy Barnes has 4 papers in our library, in 2017–2026, most of them on Sentiment & emotion, Language models & pretraining, Multilingual & cross-lingual NLP; often with Roman Klinger, Hendrik Schuff, Javier Aula-Blasco.

4 papers in our library · 2017–2026

OpenAlex · h-index 0 · 3 works · 0 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 70 times in our library · ⭐ Paper Stars ranking: #6825

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

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.

 Works by year

2020s

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus (2017 · 129 citations)
    Emotion research on social media has mostly used hashtags, emoticons or emojis as weak labels. No manually verified, publicly available Twitter corpus with discrete emotion categories existed. The authors close this gap by adding emotion labels to the SemEval 2016 Stance Data set, which already contains stance and…
  2. IberoBench: A Benchmark for LLM Evaluation in Iberian Languages (2025 · 24 citations)
    Multi-task benchmarks are now the standard way to assess base LLMs, but they exist almost only for English and a handful of other high-resource languages.
  3. English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language Prompts (2024 · 16 citations)
    The paper asks which prompt language works best for zero-shot emotion classification of non-English text with a multilingual model.
  4. A Virtual Assistant for Architectural Design in a VR Environment (2026)
    Editing Building Information Modeling (BIM) files usually requires expert software skills. This slows down iterative architectural prototyping and shuts out non-specialists. The authors present VR-ARCH, a voice-driven assistant that lets users inspect and change a BIM-based building while immersed in virtual reality.

 Co-authors here

8 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 70 times (of the 149,439 papers whose bibliographies we read); 13 citing papers with a page here →.

Updated

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