1 code implementation • GermEval 2022 • Juraj Vladika, Stephen Meisenbacher, Florian Matthes
The task of quantifying the complexity of written language presents an interesting endeavor, particularly in the opportunity that it presents for aiding language learners.
no code implementations • 5 Feb 2024 • Juraj Vladika, Florian Matthes
We test the final verdict prediction of systems on four datasets of biomedical and health claims in different settings.
no code implementations • 21 Dec 2023 • Juraj Vladika, Alexander Fichtl, Florian Matthes
In this paper, we develop an approach that uses lightweight adapter modules to inject structured biomedical knowledge into pre-trained language models (PLMs).
1 code implementation • 15 Sep 2023 • Juraj Vladika, Phillip Schneider, Florian Matthes
In the digital age, seeking health advice on the Internet has become a common practice.
no code implementations • 3 Jul 2023 • Anum Afzal, Juraj Vladika, Daniel Braun, Florian Matthes
Large Language Models work quite well with general-purpose data and many tasks in Natural Language Processing.
no code implementations • 26 May 2023 • Juraj Vladika, Florian Matthes
In particular, scientific fact-checking is the variation of the task concerned with verifying claims rooted in scientific knowledge.
1 code implementation • 25 Apr 2023 • Juraj Vladika, Florian Matthes
The first one is a pipeline system that models the two tasks separately, while the second one is a joint system that learns the two tasks simultaneously with a shared representation and a multi-task learning approach.
1 code implementation • 10 Jan 2023 • Phillip Schneider, Anum Afzal, Juraj Vladika, Daniel Braun, Florian Matthes
Conversational search has evolved as a new information retrieval paradigm, marking a shift from traditional search systems towards interactive dialogues with intelligent search agents.
1 code implementation • 30 Sep 2022 • Phillip Schneider, Tim Schopf, Juraj Vladika, Mikhail Galkin, Elena Simperl, Florian Matthes
In pace with developments in the research field of artificial intelligence, knowledge graphs (KGs) have attracted a surge of interest from both academia and industry.
no code implementations • SEMEVAL 2019 • Niko Pali{\'c}, Juraj Vladika, Dominik {\v{C}}ubeli{\'c}, Ivan Lovren{\v{c}}i{\'c}, Maja Buljan, Jan {\v{S}}najder
In this paper, we demonstrate the system built to solve the SemEval-2019 task 4: Hyperpartisan News Detection (Kiesel et al., 2019), the task of automatically determining whether an article is heavily biased towards one side of the political spectrum.