54 citations · 100 across the 12 of their papers we have counts for
13 papers
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…
Overview of STEM Science as Process, Method, Material, and Data Named Entities
Jennifer D'Souza
We are faced with an unprecedented production in scholarly publications worldwide. Stakeholders in the digital libraries posit that the document-based publishing paradigm has reach…
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…
Ranking Facts for Explaining Answers to Elementary Science Questions
Jennifer D'Souza, Isaiah Onando Mulang', Soeren Auer
In multiple-choice exams, students select one answer from among typically four choices and can explain why they made that particular choice. Students are good at understanding natu…
Automated Mining of Leaderboards for Empirical AI Research
Salomon Kabongo, Jennifer D'Souza, Sören Auer
With the rapid growth of research publications, empowering scientists to keep oversight over the scientific progress is of paramount importance. In this regard, the Leaderboards fa…
SemEval-2021 Task 11: NLPContributionGraph -- Structuring Scholarly NLP Contributions for a Research Knowledge Graph
Jennifer D'Souza, Sören Auer, Ted Pedersen
There is currently a gap between the natural language expression of scholarly publications and their structured semantic content modeling to enable intelligent content search. With…
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…
SciBERT-based Semantification of Bioassays in the Open Research Knowledge Graph
Marco Anteghini, Jennifer D'Souza, Vitor A. P. Martins dos Santos +1
As a novel contribution to the problem of semantifying biological assays, in this paper, we propose a neural-network-based approach to automatically semantify, thereby structure, u…
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…
NLPContributions: An Annotation Scheme for Machine Reading of Scholarly Contributions in Natural Language Processing Literature
Jennifer D'Souza, Sören Auer
We describe an annotation initiative to capture the scholarly contributions in natural language processing (NLP) articles, particularly, for the articles that discuss machine learn…
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…
The STEM-ECR Dataset: Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources
Jennifer D'Souza, Anett Hoppe, Arthur Brack +3
We introduce the STEM (Science, Technology, Engineering, and Medicine) Dataset for Scientific Entity Extraction, Classification, and Resolution, version 1.0 (STEM-ECR v1.0). The ST…
Domain-independent Extraction of Scientific Concepts from Research Articles
Arthur Brack, Jennifer D'Souza, Anett Hoppe +2
We examine the novel task of domain-independent scientific concept extraction from abstracts of scholarly articles and present two contributions. First, we suggest a set of generic…