Elamur Research⌕
☰
home / authors / Afshin Rahimi

Afshin Rahimi

Afshin Rahimi has 2 papers in our library, in 2019–2020, most of them on Named entity recognition, Multilingual & cross-lingual NLP, English; often with Dat Quoc Nguyen, Linh The Nguyen, Thanh Vu.

2 papers in our library · 2019–2020

OpenAlex · ORCID · h-index 14 · 37 works · 1,387 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 290 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #4100

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

🎓The University of QueenslandBrisbane · Australia2020–2023 · 12 papersEmployment since 2020 · Lecturer, School of Information Technology and Electrical Engineeringcurrent🎓The University of MelbourneMelbourne · Australia2014–2021 · 17 papersEducation · PhD in Computer Science, Computing and Information Systems

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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksSocial Sciences · 1 workSociology and Political Science · 1 work

🧭 Topics 3Research subjects and languages the work is about.English · 1 workMultilingual & cross-lingual NLP · 1 workNamed entity recognition · 1 work

 Works by year

2020s

20201 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Massively Multilingual Transfer for NER (2019 · 329 citations)
    The paper addresses cross-lingual named entity recognition for low-resource target languages when many source-language models are available, not just one or a few.
  2. WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets (2020 · 115 citations)
    This paper describes the WNUT-2020 shared task on deciding whether an English COVID-19 Tweet is INFORMATIVE or UNINFORMATIVE.

All works

5 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. IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP ↗Proceedings of the 28th International Conference on Computational Linguistics · no summary yetFajri Koto et al.2020 · 395 citations
  2. Massively Multilingual Transfer for NERAnnual Meeting of the Association for Computational Linguistics (ACL)Afshin Rahimi, Yuan Li, Trevor Cohn2019 · 329 citations
  3. Semi-supervised User Geolocation via Graph Convolutional Networks ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetAfshin Rahimi, Trevor Cohn, Timothy Baldwin2018 · 187 citations
  4. WNUT-2020 Task 2: Identification of Informative COVID-19 English TweetsWorkshop on Noisy User-generated TextDat Quoc Nguyen, Thanh Vu, Afshin Rahimi, et al.2020 · 115 citations
  5. A Neural Model for User Geolocation and Lexical Dialectology ↗Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetAfshin Rahimi, Trevor Cohn, Timothy Baldwin2017 · 109 citations

 Co-authors here

5 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 290 times (of the 149,439 papers whose bibliographies we read); 49 citing papers with a page here →.

Updated

↑ back to top

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