Objectives To prospectively investigate in patients with severe COVID-19-associated
cytokine storm syndrome (CSS) whether an intensive course of glucocorticoids with or …

A current research question in the area of entity resolution (also called link discovery or
duplicate detection) is whether and in which cases embeddings and deep neural network …

Entity Matching is the task of deciding if two entity descriptions refer to the same real-world
entity. State-of-the-art entity matching methods often rely on fine-tuning Transformer models …

Contrastive learning has moved the state of the art for many tasks in computer vision and
information retrieval in recent years. This poster is the first work that applies supervised …

Product matching is the task of deciding if offers originating from different web-shops refer to
the same real-world product. This is a central task for e-commerce applications such as …

The difficulty of an entity matching task depends on a combination of multiple factors such as
the amount of corner-case pairs, the fraction of entities in the test set that have not been …

Entity Matching is the task of deciding whether two entity descriptions refer to the same real-
world entity. Entity Matching is a central step in most data integration pipelines and an …

COVID-19 is a novel viral disease caused by SARS-CoV-2. The mid-and long-term
outcomes have not yet been determined. COVID-19 infection is increasingly being …

Product matching is a central task within e-commerce applications such as price comparison
portals and online market places. State-of-the-art product matching methods achieve F1 …

This paper gives an overview of the Semantic Web Challenge on Mining the Web of HTML-
embedded Product Data (MWPD2020) which has been conducted as part of the …