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Eduard Dragut

Eduard Dragut has 2 papers in our library, in 2026, most of them on Named entity recognition, Language models & pretraining, Low-resource languages; often with Cornelia Caragea, Lei Wang, Min Huang.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 19 · 135 works · 1,066 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 22 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #13522

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Temple UniversityPhiladelphia · United States2013–2026 · 89 papersEmployment since 2013 · Assistant Professor, Computer and Information Sciencescurrent🎓Purdue University West LafayetteWest Lafayette · United States2010–2013 · 17 papers🎓University of Illinois ChicagoChicago · United States2005–2010 · 8 papers🎓University of HoustonHouston · United States2020–2021 · 5 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksEducation · 1 workGeneral Social Sciences · 1 workSocial Sciences · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workLow-resource languages · 1 workNamed entity recognition · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. CentaurTA: A Self-Improving Human-Agents Collaboration Framework for Thematic Analysis (2026)
    Thematic analysis (TA) of qualitative data is slow and hard to reproduce. Existing LLM tools tend to fall into two camps. Fully automated pipelines sacrifice rigor. Human-in-the-loop systems use expert corrections only once, so experts end up fixing the same mistakes again and again. CentaurTA addresses this by…
  2. Scaling Performance and Low-Resource Annotation with Many-Shot In-Context Learning for Named Entity Recognition (2026)
    NER systems built on fine-tuned small models such as BERT still perform best, but they need large amounts of human-labeled data.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Satirical News Detection and Analysis using Attention Mechanism and Linguistic Features ↗Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yetFan Yang, Arjun Mukherjee, Eduard Dragut2017 · 79 citations
  2. CentaurTA: A Self-Improving Human-Agents Collaboration Framework for Thematic AnalysisFindings of the Association for Computational LinguisticsLei Wang, Min Huang, Eduard Dragut2026
  3. Scaling Performance and Low-Resource Annotation with Many-Shot In-Context Learning for Named Entity RecognitionFindings of the Association for Computational LinguisticsQi Zhang, Fangping Lan, Cornelia Caragea, et al.2026

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 22 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/eduard-dragut/