81 citations · 121 across the 6 of their papers we have counts for
9 papers
Can Language Models Analyze Data? Evaluating Large Language Models for Question Answering over Datasets
Andreas Xenofontos, Pavlos Fafalios
This paper investigates the effectiveness of large language models (LLMs) in answering questions over datasets. We examine their performance in two scenarios: (a) directly answerin…
Estimating the Cost of Executing Link Traversal based SPARQL Queries
Antonis Sklavos, Pavlos Fafalios, Yannis Tzitzikas
An increasing number of organisations in almost all fields have started adopting semantic web technologies for publishing their data as open, linked and interoperable (RDF) dataset…
FAST CAT: Collaborative Data Entry and Curation for Semantic Interoperability in Digital Humanities
Pavlos Fafalios, Kostas Petrakis, Georgios Samaritakis +4
Descriptive and empirical sciences, such as History, are the sciences that collect, observe and describe phenomena in order to explain them and draw interpretative conclusions abou…
Better Together -- An Ensemble Learner for Combining the Results of Ready-made Entity Linking Systems
Renato Stoffalette João, Pavlos Fafalios, Stefan Dietze
Entity linking (EL) is the task of automatically identifying entity mentions in text and resolving them to a corresponding entity in a reference knowledge base like Wikipedia. Thro…
TweetsCOV19 -- A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic
Dimitar Dimitrov, Erdal Baran, Pavlos Fafalios +4
Publicly available social media archives facilitate research in the social sciences and provide corpora for training and testing a wide range of machine learning and natural langua…
Bias in Data-driven AI Systems -- An Introductory Survey
Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju +20
AI-based systems are widely employed nowadays to make decisions that have far-reaching impacts on individuals and society. Their decisions might affect everyone, everywhere and any…