24 citations · 25 across the 5 of their papers we have counts for
5 papers
Multimodal Fact-Checking with Vision Language Models: A Probing Classifier based Solution with Embedding Strategies
Recep Firat Cekinel, Pinar Karagoz, Cagri Coltekin
This study evaluates the effectiveness of Vision Language Models (VLMs) in representing and utilizing multimodal content for fact-checking. To be more specific, we investigate whet…
Tübingen-CL at SemEval-2024 Task 1:Ensemble Learning for Semantic Relatedness Estimation
Leixin Zhang, Çağrı Çöltekin
The paper introduces our system for SemEval-2024 Task 1, which aims to predict the relatedness of sentence pairs. Operating under the hypothesis that semantic relatedness is a broa…
Multilingual Power and Ideology Identification in the Parliament: a Reference Dataset and Simple Baselines
Çağrı Çöltekin, Matyáš Kopp, Katja Meden +3
We introduce a dataset on political orientation and power position identification. The dataset is derived from ParlaMint, a set of comparable corpora of transcribed parliamentary s…
Cross-Lingual Learning vs. Low-Resource Fine-Tuning: A Case Study with Fact-Checking in Turkish
Recep Firat Cekinel, Pinar Karagoz, Cagri Coltekin
The rapid spread of misinformation through social media platforms has raised concerns regarding its impact on public opinion. While misinformation is prevalent in other languages,…
Resources for Turkish Natural Language Processing: A critical survey
Çağrı Çöltekin, A. Seza Doğruöz, Özlem Çetinoğlu
This paper presents a comprehensive survey of corpora and lexical resources available for Turkish. We review a broad range of resources, focusing on the ones that are publicly avai…