Search Results for author: Jelena Mitrović

Found 12 papers, 4 papers with code

GRhOOT: Ontology of Rhetorical Figures in German

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.

Argument Mining Machine Translation +1

Multi-word Expressions for Abusive Speech Detection in Serbian

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.

Abusive Language

WebFAQ: A Multilingual Collection of Natural Q&A Datasets for Dense Retrieval

no code implementations28 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.

Dataset Generation Open-Domain Question Answering +2

Enhancing Rhetorical Figure Annotation: An Ontology-Based Web Application with RAG Integration

1 code implementation18 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.

Argument Mining Fake News Detection +4

Challenges and Considerations in Annotating Legal Data: A Comprehensive Overview

no code implementations5 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.

Computational Approaches to the Detection of Lesser-Known Rhetorical Figures: A Systematic Survey and Research Challenges

no code implementations24 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.

Technical Report: Impact of Position Bias on Language Models in Token Classification

1 code implementation26 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.

named-entity-recognition Named Entity Recognition +7

A Benchmark of PDF Information Extraction Tools using a Multi-Task and Multi-Domain Evaluation Framework for Academic Documents

no code implementations17 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.

Retrieval Table Extraction

German BERT Model for Legal Named Entity Recognition

no code implementations7 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.

Language Modelling model +5

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