Julian Hough
Julian Hough has 3 papers in our library, in 2021–2026, most of them on Word sense disambiguation, Speech act theory, Language models & pretraining; often with Nicholas Micallef, Matthew Purver.
OpenAlex · ORCID · h-index 20 · 85 works · 1,101 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 31 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #8727
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksMedicine · 1 workPsychiatry and Mental health · 1 work
🧭 Topics 5Research subjects and languages the work is about.Word sense disambiguation · 2 worksDialogue systems · 1 workSpeech act theory · 1 workEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- Rare-Class Dialogue Act Tagging for Alzheimer's Disease Diagnosis (2021 · 13 citations)
Dialogue act (DA) taggers are usually tuned for average accuracy, so they handle frequent tags well and largely miss rare ones. - Can LLMs assist with Ambiguity? A Quantitative Evaluation of various Large Language Models on Word Sense Disambiguation (2024 · 11 citations)
Large language models are tested here on Word Sense Disambiguation (WSD), especially for highly polysemous English words with many noun and verb senses, where classic supervised systems struggle because labelled data is scarce. - SwanNLP at SemEval-2026 Task 5: An LLM-based Framework for Plausibility Scoring in Narrative Word Sense Disambiguation (2026 · 1 citation)
This paper describes the SwanNLP system for SemEval-2026 Task 5. The task asks systems to predict how plausible humans find a given sense of a homonym inside a short story, on a 1–5 scale. The data come from the AmbiStory dataset. Each instance has a multi-sentence precontext, an ambiguous sentence and sometimes an…
All works
- Alzheimer’s Dementia Recognition Using Acoustic, Lexical, Disfluency and Speech Pause Features Robust to Noisy Inputs ↗Interspeech (USB) · no summary yetMorteza Rohanian, Julian Hough, Matthew Purver2021 · 65 citations
- Detecting Depression with Word-Level Multimodal Fusion ↗Interspeech (USB) · no summary yetMorteza Rohanian, Julian Hough, Matthew Purver2019 · 55 citations
- Rare-Class Dialogue Act Tagging for Alzheimer's Disease DiagnosisAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Shamila Nasreen, Julian Hough, Matthew Purver2021 · 13 citations
- Can LLMs assist with Ambiguity? A Quantitative Evaluation of various Large Language Models on Word Sense DisambiguationarXiv:2411.18337T.G.D.K. Sumanathilaka, Nicholas Micallef, Julian Hough2024 · 11 citations
- SwanNLP at SemEval-2026 Task 5: An LLM-based Framework for Plausibility Scoring in Narrative Word Sense DisambiguationInternational Workshop on Semantic Evaluation (SemEval)Deshan Sumanathilaka, Nicholas Micallef, Julian Hough, et al.2026 · 1 citation
Co-authors here
Venues
- Interspeech (USB) ×2
- International Workshop on Semantic Evaluation (SemEval): SemEval 2026
- Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL): SIGDIAL 2021
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/julian-hough/