Elamur Research⌕
☰
home / authors / Behnam Bahrak

Behnam Bahrak

Behnam Bahrak has 2 papers in our library, in 2022–2026, most of them on Sentiment & emotion, Low-resource languages.

2 papers in our library · 2022–2026

OpenAlex · ORCID · h-index 16 · 96 works · 831 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1 time in our library · ⭐ Paper Stars ranking: #10664

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

🎓University of TehranTehran · Iran2016–2026 · 43 paperscurrent🎓Khatam UniversityTehran · Iran2023–2026 · 12 paperscurrent🎓Virginia TechBlacksburg · United States2010–2015 · 8 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

🧭 Topics 2Research subjects and languages the work is about.Sentiment & emotion · 2 worksLow-resource languages · 1 work

 Works by year

2020s

20261 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. UTNLP at SemEval-2022 Task 6: A Comparative Analysis of Sarcasm Detection Using Generative-based and Mutation-based Data Augmentation (2022 · 15 citations)
    The paper describes team UTNLP's system for SemEval-2022 Task 6, which asks whether a tweet is sarcastic. The main dataset is iSarcasm, where tweet authors labelled their own posts. It is small and skewed toward non-sarcastic examples. The authors compare two ways of enlarging the training set. The first is…
  2. Can LLMs Faithfully Explain Themselves in Low-Resource Languages? A Case Study on Emotion Detection in Persian (2026)
    The paper asks whether the explanations LLMs give for their own decisions reflect how they actually decide, when the language is low-resource.

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 1 time (of the 149,439 papers whose bibliographies we read).

Updated

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