--- title: "Cheryl Seals · Auburn University — author profile and papers" description: "Cheryl Seals, Auburn University: 2 papers on Elamur Research (2022–2026), h-index 10 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/cheryl-seals/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/cheryl-seals/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Cheryl Seals # Cheryl Seals Cheryl Seals has 2 papers in our library, in 2022–2026, most of them on [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Semitic languages](https://md.research.elamur.ai/free/en/topics/semitic-languages/), [English](https://md.research.elamur.ai/free/en/topics/english/). 2 papers in our library · 2022–2026 [OpenAlex](https://openalex.org/A5029399576) · [ORCID](https://orcid.org/0000-0002-6701-666X) · [**h-index 10**](https://openalex.org/authors/A5029399576) · [116 works](https://openalex.org/works?filter=author.id:A5029399576) · [580 citations](https://openalex.org/works?filter=author.id:A5029399576&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/cheryl-seals/#papers) · [🔗 Cited 3 times in our library](https://md.research.elamur.ai/free/en/authors/cheryl-seals/cited-by/) · [⭐ Paper Stars ranking: #10265](https://md.research.elamur.ai/free/en/paper-stars/page/103/#star-10265) 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=Cheryl+Seals) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Cheryl+Seals) · [dblp](https://dblp.org/search?q=Cheryl+Seals) · [ACL Anthology](https://aclanthology.org/search/?q=Cheryl+Seals) ## Affiliations [🎓**Auburn University** Auburn · United States 2005–2026 · 95 papers*current*](https://md.research.elamur.ai/free/en/universities/auburn-university/) · [🎓**Virginia Tech** Blacksburg · United States 1999–2004 · 8 papers](https://md.research.elamur.ai/free/en/universities/virginia-tech/) · [🎓**Grambling State University** Grambling · United States 2020–2024 · 3 papers](https://ror.org/05mnb6484) · [🎓**North Carolina Agricultural and Technical State University** Greensboro · United States 2020–2024 · 2 papers](https://ror.org/02aze4h65) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 3 Research subjects and languages the work is about.[English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) · [Semitic languages · 1 work](https://md.research.elamur.ai/free/en/topics/semitic-languages/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/cheryl-seals/year/2026/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/cheryl-seals/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[NULL at SemEval-2022 Task 6: Intended Sarcasm Detection Using Stylistically Fused Contextualized Representation and Deep Learning](https://md.research.elamur.ai/free/en/papers/rahgouy-2022-null-semeval-2022-task-6/)** *(2022 · 6 citations)* The paper addresses SubTask A of SemEval-2022 Task 6 (iSarcasmEval): deciding whether a short social-media text is sarcastic, in English and Arabic. The labels come from the writers themselves. The authors argue that a contextual encoder alone poorly captures intent, so they add class-level style signals. 2. **[Seals-NLP at SemEval-2026 Task 9: A Comparative Study of Transformer Architectures for Polarization Detection](https://md.research.elamur.ai/free/en/papers/smith-2026-seals-nlp-semeval-2026-task/)** *(2026 · 1 citation)* The paper addresses binary polarization detection in English social-media posts (SemEval-2026 Task 9, POLAR, Subtask 1). It asks which modeling family handles this task best, using only openly available models. The authors compare three approaches: ## 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/) ×2: [SemEval 2026](https://md.research.elamur.ai/free/en/venues/semeval/2026/), [SemEval 2022](https://md.research.elamur.ai/free/en/venues/semeval/2022/) ## Cited by Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/cheryl-seals/cited-by/). Updated 31 October 2026