Utilizing Weak Supervision to Create S3D: A Sarcasm Annotated Dataset (2022 · 4 citations)
Sarcasm detection on social media is still largely unsolved because sarcastic text often says the opposite of what it means, which hurts tasks like sentiment analysis.
SurreyCTS at BEA 2026 Shared Task 1: Semantic Funnelling and Entropy-based Multilingual Lexical Difficulty Prediction (2026 · 1 citation)
The University of Surrey team entered the open track of the BEA 2026 shared task. The task asks systems to predict how hard English vocabulary items are for learners whose first language is Spanish, German or Chinese. The targets are continuous GLMM (Rasch-type) difficulty estimates from the Extended KVL Dataset…
DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect Adaptation (2026)
The paper argues that today's LLMs can usually read regional Englishes but almost always reply in a standard, US-leaning variety.
Experiences from Creating a Benchmark for Sentiment Classification for Varieties of English (2024)
Most sentiment benchmarks are built around Standard American English, so little is known about how well models handle other national varieties.

All works

5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

BESSTIE: A Benchmark for Sentiment and Sarcasm Classification for Varieties of English ↗Findings of the Association for Computational Linguistics: ACL 2025 · no summary yetDipankar Srirag et al.2025 · 6 citations
Utilizing Weak Supervision to Create S3D: A Sarcasm Annotated DatasetWorkshop on Natural Language Processing and Computational Social ScienceJordan Painter, Helen Treharne, Diptesh Kanojia2022 · 4 citations
SurreyCTS at BEA 2026 Shared Task 1: Semantic Funnelling and Entropy-based Multilingual Lexical Difficulty PredictionWorkshop on Innovative Use of NLP for Building Educational Applications (BEA)Georgina Willoughby, Jordan Painter, Diptesh Kanojia, et al.2026 · 1 citation
DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect AdaptationarXiv:2607.07669Jordan Painter, Dipankar Srirag, Adarsh Kappiyath, et al.2026
Experiences from Creating a Benchmark for Sentiment Classification for Varieties of EnglisharXiv:2410.11216Dipankar Srirag, Jordan Painter, Aditya Joshi, et al.2024

Co-authors here

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

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

Papers of our library cite their works 8 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated 1 November 2026