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20202022
most citedDomain-independent Extraction of Scientific Concepts from Research Articles

54 citations · 100 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.DL2022★ 1 cited

Clustering Semantic Predicates in the Open Research Knowledge Graph

Omar Arab Oghli, Jennifer D'Souza, Sören Auer

When semantically describing knowledge graphs (KGs), users have to make a critical choice of a vocabulary (i.e. predicates and resources). The success of KG building is determined…

cs.DL2022

The Digitalization of Bioassays in the Open Research Knowledge Graph

Jennifer D'Souza, Anita Monteverdi, Muhammad Haris +5

Background: Recent years are seeing a growing impetus in the semantification of scholarly knowledge at the fine-grained level of scientific entities in knowledge graphs. The Open R…

cs.DL2021

Eigenfactor

Grischa Fraumann, Jennifer D'Souza, Kim Holmberg

The Eigenfactor is a journal metric, which was developed by Bergstrom and his colleagues at the University of Washington. They invented the Eigenfactor as a response to the critici…

cs.DL2020

Representing Semantified Biological Assays in the Open Research Knowledge Graph

Marco Anteghini, Jennifer D'Souza, Vitor A. P. Martins dos Santos +1

In the biotechnology and biomedical domains, recent text mining efforts advocate for machine-interpretable, and preferably, semantified, documentation formats of laboratory process…

cs.DL2020

Improving Scholarly Knowledge Representation: Evaluating BERT-based Models for Scientific Relation Classification

Ming Jiang, Jennifer D'Souza, Sören Auer +1

With the rapid growth of research publications, there is a vast amount of scholarly knowledge that needs to be organized in digital libraries. To deal with this challenge, techniqu…