--- title: "Jelena Mitrović — author profile and papers" description: "Jelena Mitrović, University of Passau: 2 papers on Elamur Research (2020–2021), h-index 14 — affiliations, topics, co-authors and who cites them in our…" canonical: "https://research.elamur.ai/free/en/authors/jelena-mitrovic/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jelena-mitrovic/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jelena Mitrović # Jelena Mitrović Jelena Mitrović works in natural language processing, with papers here centred on the automatic detection of abusive and offensive language on social media. The recurring questions concern what existing datasets actually capture, how overt or subtle abusive messages are, and how general-purpose language models can be adjusted to handle hostile online text. The methods combine corpus building, new annotation of established resources, and continued training of pretrained models. The most cited of these papers is [HateBERT: Retraining BERT for Abusive Language Detection in English](https://md.research.elamur.ai/free/en/papers/caselli-2021-hatebert-retraining-bert-abusive-language/). It assembles a corpus of English Reddit comments taken from communities the platform banned for harassment, hate or violence. It then continues masked language model training of BERT on that text, producing a version of the model adapted to abusive language. The paper also reads cross-dataset results in terms of how broad or narrow each dataset's annotated phenomenon is. The second, [I Feel Offended, Don't Be Abusive!](https://md.research.elamur.ai/free/en/papers/caselli-2020-i-feel-offended-don-t/), takes a typology that sorts abuse by its target and its explicitness. It applies that typology to the OLID/OffensEval Twitter corpus by adding a layer that separates explicit from implicit messages, along with distinct guidelines for abuse. It also uses lexicon-based scores and a trivial word-matching classifier to test whether a dataset rewards surface vocabulary. Taken in order, the papers here move from the 2020 re-annotation study to the 2021 model-adaptation work. The direction runs from examining what labels in existing corpora miss toward building resources and models suited to the domain. Both papers were written with [Tommaso Caselli](https://md.research.elamur.ai/free/en/authors/tommaso-caselli/), [Valerio Basile](https://md.research.elamur.ai/free/en/authors/valerio-basile/) and [Michael Granitzer](https://md.research.elamur.ai/free/en/authors/michael-granitzer/). Mitrović is currently affiliated with the [University of Passau](https://md.research.elamur.ai/free/en/universities/university-of-passau/) and with the Istraživačko-razvojni institut za veštačku inteligenciju Srbije in Novi Sad, and was earlier at the University of Belgrade. Jelena Mitrović has 2 papers in our library, in 2020–2021; often with [Michael Granitzer](https://md.research.elamur.ai/free/en/authors/michael-granitzer/), [Tommaso Caselli](https://md.research.elamur.ai/free/en/authors/tommaso-caselli/), [Valerio Basile](https://md.research.elamur.ai/free/en/authors/valerio-basile/). 2 papers in our library · 2020–2021 [OpenAlex](https://openalex.org/A5019466280) · [ORCID](https://orcid.org/0000-0003-3220-8749) · [Wikidata](https://www.wikidata.org/wiki/Q99281776) · [**h-index 14**](https://openalex.org/authors/A5019466280) · [93 works](https://openalex.org/works?filter=author.id:A5019466280) · [857 citations](https://openalex.org/works?filter=author.id:A5019466280&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jelena-mitrovic/#papers) · [🔗 273 citations in our library](https://md.research.elamur.ai/free/en/authors/jelena-mitrovic/cited-by/) · [7 more in our library without a page yet](#also) · [⭐ Paper Star rank #2618](https://md.research.elamur.ai/free/en/paper-stars/page/27/#star-2618) 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=Jelena+Mitrovi%C4%87) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jelena+Mitrovi%C4%87) · [dblp](https://dblp.org/search?q=Jelena+Mitrovi%C4%87) · [ACL Anthology](https://aclanthology.org/search/?q=Jelena+Mitrovi%C4%87) ## Affiliations [🎓**University of Passau** Passau · Germany 2017–2026 · 83 papersEmployment*current*](https://md.research.elamur.ai/free/en/universities/university-of-passau/) · [🤝**Istraživačko-razvojni institut za veštačku inteligenciju Srbije** Novi Sad · Serbia 2022–2026 · 13 papers*current*](https://ror.org/008qzek11) · [🎓**University of Belgrade** Belgrade · Serbia 2013–2025 · 5 papersEducation until 2018](https://ror.org/02qsmb048) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Works by year ### 2020s [**2021** 1 paper](https://md.research.elamur.ai/free/en/papers/caselli-2021-hatebert-retraining-bert-abusive-language/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/papers/caselli-2020-i-feel-offended-don-t/) ## Papers The most cited first (OpenAlex and our library). 1. **[HateBERT: Retraining BERT for Abusive Language Detection in English](https://md.research.elamur.ai/free/en/papers/caselli-2021-hatebert-retraining-bert-abusive-language/)** *(2021 · 481 citations)* General-purpose BERT is trained mostly on standard, neutral text, which limits it on social-media abusive language. 2. **[I Feel Offended, Don't Be Abusive! Implicit/Explicit Messages in Offensive and Abusive Language](https://md.research.elamur.ai/free/en/papers/caselli-2020-i-feel-offended-don-t/)** *(2020 · 157 citations)* Automatic detection of abusive language remains difficult, partly because existing datasets rarely record how overtly a message is abusive. ## Also in our library 7 more works of theirs are in our library without a page here yet; they will appear as we publish them. ## Co-authors here 3 co-authors with a page, the most papers together first. - [Michael Granitzer](https://md.research.elamur.ai/free/en/authors/michael-granitzer/) ×2 - [Tommaso Caselli](https://md.research.elamur.ai/free/en/authors/tommaso-caselli/) ×2 - [Valerio Basile](https://md.research.elamur.ai/free/en/authors/valerio-basile/) ×2 ## Cited by Papers of our library cite their works 273 times (of the 140,884 papers whose bibliographies we read); [13 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jelena-mitrovic/cited-by/).