---
title: "Sam Henry — author profile and papers — Elamur Research"
description: "Sam Henry, George Mason University: 2 papers on Elamur Research (2020–2026), h-index 7 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/sam-henry/"
---
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# Sam Henry

Sam Henry has 2 papers in our library, in 2020–2026, most of them on [Named entity recognition](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/), [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 [Fatemah Husain](https://md.research.elamur.ai/free/en/authors/fatemah-husain/), [Ozlem Uzuner](https://md.research.elamur.ai/free/en/authors/ozlem-uzuner/).

2 papers in our library · 2020–2026

[OpenAlex](https://openalex.org/A5060065886) · [ORCID](https://orcid.org/0000-0002-7246-1151) · [**h-index 7**](https://openalex.org/authors/A5060065886) · [7 works](https://openalex.org/works?filter=author.id:A5060065886) · [549 citations](https://openalex.org/works?filter=author.id:A5060065886&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/sam-henry/#papers) · 🔗 Cited 3 times in our library · [⭐ Paper Stars ranking: #9302](https://md.research.elamur.ai/free/en/paper-stars/page/94/#star-9302)

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=Sam+Henry) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Sam+Henry) · [dblp](https://dblp.org/search?q=Sam+Henry) · [ACL Anthology](https://aclanthology.org/search/?q=Sam+Henry)

## Affiliations

[🎓**George Mason University** Fairfax · United States 2019–2020 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/george-mason-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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 4 Research subjects and languages the work is about.[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/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Named entity recognition · 1 work](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/sam-henry/year/2026/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/sam-henry/year/2020/)

## Papers

The most cited first (OpenAlex and our library).

1. **[SalamNET at SemEval-2020 Task 12: Deep Learning Approach for Arabic Offensive Language Detection](https://md.research.elamur.ai/free/en/papers/husain-2020-salamnet-semeval-2020-task-12/)** *(2020 · 17 citations)* The paper describes SalamNET, a system for detecting offensive Arabic tweets, built for SemEval-2020 Task 12 (OffensEval).
2. **[Effects of Adaptive Pretraining in Specialized Domains for Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/lynam-2026-effects-adaptive-pretraining-specialized-domains/)** *(2026)* The paper tackles a practical question for NER developers in specialized fields: does extra domain pretraining of a language model pay off, and which released model should you pick? Lynam and Henry benchmark nine BERT-family encoders on nine NER datasets from three biomedical sub-domains: clinical, scientific and…

## Co-authors here

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

- [Fatemah Husain](https://md.research.elamur.ai/free/en/authors/fatemah-husain/)
- [Ozlem Uzuner](https://md.research.elamur.ai/free/en/authors/ozlem-uzuner/)

## Venues

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

- [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/): [BioNLP 2026](https://md.research.elamur.ai/free/en/venues/bionlp/2026/)
- [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/): [SemEval 2020](https://md.research.elamur.ai/free/en/venues/semeval/2020/)

## Cited by

Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026
