1 code implementation • LREC 2022 • Ramona Kühn, Jelena Mitrović, Michael Granitzer
GRhOOT, the German RhetOrical OnTology, is a domain ontology of 110 rhetorical figures in the German language.
no code implementations • COLING (MWE) 2020 • Ranka Stanković, Jelena Mitrović, Danka Jokić, Cvetana Krstev
This paper presents our work on the refinement and improvement of the Serbian language part of Hurtlex, a multilingual lexicon of words to hurt.
no code implementations • GWC 2016 • Miljana Mladenović, Jelena Mitrović, Cvetana Krstev
The aim of this paper is to show a language-independent process of creating a new semantic relation between adjectives and nouns in wordnets.
no code implementations • 28 Feb 2025 • Michael Dinzinger, Laura Caspari, Kanishka Ghosh Dastidar, Jelena Mitrović, Michael Granitzer
These datasets are carefully curated through refined filtering and near-duplicate detection, yielding high-quality resources for training and evaluating multilingual dense retrieval models.
1 code implementation • 18 Dec 2024 • Ramona Kühn, Jelena Mitrović, Michael Granitzer
To overcome this issue, we develop a web application called "Find your Figure" that facilitates the identification and annotation of German rhetorical figures.
no code implementations • 5 Jul 2024 • Harshil Darji, Jelena Mitrović, Michael Granitzer
This paper provides an expanded view of these challenges and aims to offer a foundational understanding and guidance for researchers and professionals engaged in legal data annotation projects.
no code implementations • 24 Jun 2024 • Ramona Kühn, Jelena Mitrović, Michael Granitzer
Rhetorical figures play a major role in our everyday communication as they make text more interesting, more memorable, or more persuasive.
1 code implementation • 26 Apr 2023 • Mehdi Ben Amor, Michael Granitzer, Jelena Mitrović
Therefore, we conduct an in-depth evaluation of the impact of position bias on the performance of LMs when fine-tuned on token classification benchmarks.
no code implementations • 17 Mar 2023 • Norman Meuschke, Apurva Jagdale, Timo Spinde, Jelena Mitrović, Bela Gipp
Using the new framework, we benchmark ten freely available tools in extracting document metadata, bibliographic references, tables, and other content elements from academic PDF documents.
no code implementations • 7 Mar 2023 • Harshil Darji, Jelena Mitrović, Michael Granitzer
Even though there is much research done on NER using BERT and other popular language models, the same is not explored in detail when it comes to Legal NLP or Legal Tech.
no code implementations • 7 Nov 2022 • Timo Spinde, Jan-David Krieger, Terry Ruas, Jelena Mitrović, Franz Götz-Hahn, Akiko Aizawa, Bela Gipp
Media has a substantial impact on the public perception of events.
1 code implementation • ACL (WOAH) 2021 • Tommaso Caselli, Valerio Basile, Jelena Mitrović, Michael Granitzer
In this paper, we introduce HateBERT, a re-trained BERT model for abusive language detection in English.
Ranked #1 on
Hate Speech Detection
on AbusEval