25 citations · 69 across the 7 of their papers we have counts for
12 papers
SDR: Efficient Neural Re-ranking using Succinct Document Representation
Nachshon Cohen, Amit Portnoy, Besnik Fetahu +1
BERT based ranking models have achieved superior performance on various information retrieval tasks. However, the large number of parameters and complex self-attention operation co…
Neural OCR Post-Hoc Correction of Historical Corpora
Lijun Lyu, Maria Koutraki, Martin Krickl +1
Optical character recognition (OCR) is crucial for a deeper access to historical collections. OCR needs to account for orthographic variations, typefaces, or language evolution (i.…
FAE: A Fairness-Aware Ensemble Framework
Vasileios Iosifidis, Besnik Fetahu, Eirini Ntoutsi
Automated decision making based on big data and machine learning (ML) algorithms can result in discriminatory decisions against certain protected groups defined upon personal data…
Simple-ML: Towards a Framework for Semantic Data Analytics Workflows
Simon Gottschalk, Nicolas Tempelmeier, Günter Kniesel +3
In this paper we present the Simple-ML framework that we develop to support efficient configuration, robustness and reusability of data analytics workflows through the adoption of…
Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability
Miriam Redi, Besnik Fetahu, Jonathan Morgan +1
Wikipedia is playing an increasingly central role on the web,and the policies its contributors follow when sourcing and fact-checking content affect million of readers. Among these…
TableNet: An Approach for Determining Fine-grained Relations for Wikipedia Tables
Besnik Fetahu, Avishek Anand, Maria Koutraki
Wikipedia tables represent an important resource, where information is organized w.r.t table schemas consisting of columns. In turn each column, may contain instance values that po…