3 papers
cs.CL2024
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…
cs.CL2024
Tübingen-CL at SemEval-2024 Task 1:Ensemble Learning for Semantic Relatedness Estimation
Leixin Zhang, ÃaÄrı Ãöltekin
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…
cs.CL2024
Multilingual Power and Ideology Identification in the Parliament: a Reference Dataset and Simple Baselines
ÃaÄrı Ãöltekin, 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…