Search Results for author: Juraj Vladika

Found 10 papers, 5 papers with code

TUM sebis at GermEval 2022: A Hybrid Model Leveraging Gaussian Processes and Fine-Tuned XLM-RoBERTa for German Text Complexity Analysis

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.

Gaussian Processes

Comparing Knowledge Sources for Open-Domain Scientific Claim Verification

no code implementations5 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.

Claim Verification Evidence Selection +3

Diversifying Knowledge Enhancement of Biomedical Language Models using Adapter Modules and Knowledge Graphs

no code implementations21 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).

Document Classification Knowledge Graphs +2

Scientific Fact-Checking: A Survey of Resources and Approaches

no code implementations26 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.

Fact Checking Misinformation

Sebis at SemEval-2023 Task 7: A Joint System for Natural Language Inference and Evidence Retrieval from Clinical Trial Reports

1 code implementation25 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.

Multi-Task Learning Natural Language Inference +1

Investigating Conversational Search Behavior For Domain Exploration

1 code implementation10 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.

Conversational Search Information Retrieval +1

A Decade of Knowledge Graphs in Natural Language Processing: A Survey

1 code implementation30 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.

Knowledge Graphs

TakeLab at SemEval-2019 Task 4: Hyperpartisan News Detection

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.

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