--- title: "Huizhi(elly) Liang — author profile and papers in our library" description: "Huizhi(elly) Liang, Newcastle University: 3 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/huizhi-elly-liang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/huizhi-elly-liang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Huizhi(elly) Liang # Huizhi(elly) Liang Huizhi(elly) Liang has 3 papers in our library, in 2026, most of them on [Word sense disambiguation](https://md.research.elamur.ai/free/en/topics/word-sense-disambiguation/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/); often with [Tong Wu](https://md.research.elamur.ai/free/en/authors/tong-wu/), [Mingyang Chen](https://md.research.elamur.ai/free/en/authors/mingyang-chen/), [Nicolay Rusnachenko](https://md.research.elamur.ai/free/en/authors/nicolay-rusnachenko/). 3 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139846074) · [**h-index 0**](https://openalex.org/authors/A5139846074) · [2 works](https://openalex.org/works?filter=author.id:A5139846074) · [0 citations](https://openalex.org/works?filter=author.id:A5139846074&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/huizhi-elly-liang/#papers) · 🔗 Cited 3 times in our library · [⭐ Paper Stars ranking: #10828](https://md.research.elamur.ai/free/en/paper-stars/page/109/#star-10828) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Huizhi%28elly%29+Liang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Huizhi%28elly%29+Liang) · [dblp](https://dblp.org/search?q=Huizhi%28elly%29+Liang) · [ACL Anthology](https://aclanthology.org/search/?q=Huizhi%28elly%29+Liang) ## Affiliations [🎓**Newcastle University** Newcastle upon Tyne · United Kingdom 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/newcastle-university/) 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. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Word sense disambiguation · 1 work](https://md.research.elamur.ai/free/en/topics/word-sense-disambiguation/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/huizhi-elly-liang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[NCL&HKU-NarrSim at SemEval-2026 Task 4: Aspect-Based Agents and Supervised Contrastive Embeddings for Narrative Similarity](https://md.research.elamur.ai/free/en/papers/xu-2026-ncl-hku-narrsim-semeval-2026/)** *(2026 · 1 citation)* This paper presents the NCL&HKU-NarrSim system for SemEval-2026 Task 4. The task asks which of two candidate stories is narratively closer to an anchor story, judged on deeper structure rather than shared wording. The authors propose one approach per track. 2. **[NCL-BU at SemEval-2026 Task 3: Fine-tuning XLM-RoBERTa for Multilingual Dimensional Sentiment Regression](https://md.research.elamur.ai/free/en/papers/wu-2026-ncl-bu-semeval-2026-task/)** *(2026 · 1 citation)* This paper reports a system for SemEval-2026 Task 3 (DimABSA), Track A, Subtask 1. In this subtask, each aspect mentioned in a sentence receives two continuous scores, valence and arousal, on a 1–9 scale, rather than a categorical polarity label. The authors fine-tune XLM-RoBERTa-base on input pairs of the form… 3. **[NCL-UoR at SemEval-2026 Task 5: Embedding-Based Methods, Fine-Tuning, and LLMs for Word Sense Plausibility Rating](https://md.research.elamur.ai/free/en/papers/wu-2026-ncl-uor-semeval-2026-task/)** *(2026 · 1 citation)* This SemEval-2026 Task 5 system paper tackles graded word sense plausibility. Given a five-sentence English story from the AmbiStory dataset with an ambiguous homonym and a candidate sense, a system must predict how plausible human annotators find that sense on a 1–5 scale. The authors compare three families of… ## Co-authors here 3 co-authors with a page, the most papers together first. - [Tong Wu](https://md.research.elamur.ai/free/en/authors/tong-wu/) ×2 - [Mingyang Chen](https://md.research.elamur.ai/free/en/authors/mingyang-chen/) - [Nicolay Rusnachenko](https://md.research.elamur.ai/free/en/authors/nicolay-rusnachenko/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/) ×3: [SemEval 2026](https://md.research.elamur.ai/free/en/venues/semeval/2026/) ×3 ## Cited by Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read). Updated 1 November 2026