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Found 9 papers, 1 papers with code
MORTY: Structured Summarization for Targeted Information Extraction from Scholarly Articles
Information extraction from scholarly articles is a challenging task due to the sizable document length and implicit information hidden in text, figures, and citations.
Plumber: A Modular Framework to Create Information Extraction Pipelines
Information Extraction (IE) tasks are commonly studied topics in various domains of research.
The Digitalization of Bioassays in the Open Research Knowledge Graph
For this in turn, there is a strong need for AI tools designed for scientists that permit easy and accurate semantification of their scholarly contributions.
Triple Classification for Scholarly Knowledge Graph Completion
Scholarly Knowledge Graphs (KGs) provide a rich source of structured information representing knowledge encoded in scientific publications.
Better Call the Plumber: Orchestrating Dynamic Information Extraction Pipelines
In the last decade, a large number of Knowledge Graph (KG) information extraction approaches were proposed.
Analysing the Requirements for an Open Research Knowledge Graph: Use Cases, Quality Requirements and Construction Strategies
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 nearly impossible to get a full overview of the state of the art in a certain field, or reproducibility is hampered by fixed-length, document-based publications which normally cannot cover all details of a research work.
Question Answering on Scholarly Knowledge Graphs
Our system can retrieve direct answers to a variety of different questions asked on tabular data in articles.
Requirements Analysis for an Open Research Knowledge Graph
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 nearly impossible to get an overview of the state of the art in a certain field, or reproducibility is hampered by fixed-length, document-based publications which normally cannot cover all details of a research work.
Open Research Knowledge Graph: Next Generation Infrastructure for Semantic Scholarly Knowledge
In this paper, we present the first steps towards a knowledge graph based infrastructure that acquires scholarly knowledge in machine actionable form thus enabling new possibilities for scholarly knowledge curation, publication and processing.
