--- title: "Behnam Bahrak — author profile and papers in our library" description: "Behnam Bahrak, University of Tehran: 2 papers on Elamur Research (2022–2026), h-index 16 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/behnam-bahrak/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/behnam-bahrak/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Behnam Bahrak # Behnam Bahrak Behnam Bahrak 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/), [Low-resource languages](https://md.research.elamur.ai/free/en/topics/low-resource-languages/). 2 papers in our library · 2022–2026 [OpenAlex](https://openalex.org/A5018813049) · [ORCID](https://orcid.org/0000-0003-4429-2511) · [**h-index 16**](https://openalex.org/authors/A5018813049) · [96 works](https://openalex.org/works?filter=author.id:A5018813049) · [831 citations](https://openalex.org/works?filter=author.id:A5018813049&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/behnam-bahrak/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #10664](https://md.research.elamur.ai/free/en/paper-stars/page/107/#star-10664) 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=Behnam+Bahrak) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Behnam+Bahrak) · [dblp](https://dblp.org/search?q=Behnam+Bahrak) · [ACL Anthology](https://aclanthology.org/search/?q=Behnam+Bahrak) ## Affiliations [🎓**University of Tehran** Tehran · Iran 2016–2026 · 43 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-tehran/) · [🎓**Khatam University** Tehran · Iran 2023–2026 · 12 papers*current*](https://md.research.elamur.ai/free/en/universities/khatam-university/) · [🎓**Virginia Tech** Blacksburg · United States 2010–2015 · 8 papers](https://md.research.elamur.ai/free/en/universities/virginia-tech/) 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 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 2 Research subjects and languages the work is about.[Sentiment & emotion · 2 works](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Low-resource languages · 1 work](https://md.research.elamur.ai/free/en/topics/low-resource-languages/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/behnam-bahrak/year/2026/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/behnam-bahrak/year/2022/) ## 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](https://md.research.elamur.ai/free/en/papers/abaskohi-2022-utnlp-semeval-2022-task-6/)** *(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](https://md.research.elamur.ai/free/en/papers/mehrazar-2026-can-llms-faithfully-explain-themselves/)** *(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. - [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/): [LREC 2026](https://md.research.elamur.ai/free/en/venues/lrec/2026/) - [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/): [SemEval 2022](https://md.research.elamur.ai/free/en/venues/semeval/2022/) ## Cited by Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read). Updated 30 October 2026