29 citations · 112 across the 29 of their papers we have counts for
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Question Answering on Scholarly Knowledge Graphs
Mohamad Yaser Jaradeh, Markus Stocker, Sören Auer
Answering questions on scholarly knowledge comprising text and other artifacts is a vital part of any research life cycle. Querying scholarly knowledge and retrieving suitable answ…
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…
The WDAqua ITN: Answering Questions using Web Data
Christoph Lange, Saeedeh Shekarpour, Soren Auer
WDAqua is a Marie Curie Innovative Training Network (ITN) and is funded under EU grant number 642795 and runs from January 2015 to December 2018. WDAqua aims at advancing the state…