most citedAnalysing the Requirements for an Open Research Knowledge Graph: Use Cases, Quality Requirements and Construction Strategies

1 citations · 1 across the 1 of their papers we have counts for

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5 papers

cs.DL20211 cited

Analysing the Requirements for an Open Research Knowledge Graph: Use Cases, Quality Requirements and Construction Strategies

Arthur Brack, Anett Hoppe, Markus Stocker +2

Current science communication has a number of drawbacks and bottlenecks which have been subject of discussion lately: Among others, the rising number of published articles makes it…

cs.IR2021

Coreference Resolution in Research Papers from Multiple Domains

Arthur Brack, Daniel Uwe Müller, Anett Hoppe +1

Coreference resolution is essential for automatic text understanding to facilitate high-level information retrieval tasks such as text summarisation or question answering. Previous…

cs.DL2020

Requirements Analysis for an Open Research Knowledge Graph

Arthur Brack, Anett Hoppe, Markus Stocker +2

Current science communication has a number of drawbacks and bottlenecks which have been subject of discussion lately: Among others, the rising number of published articles makes it…

cs.IR2020

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…

cs.IR2020

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…