Scientific Concept Extraction
2 papers with code • 1 benchmarks • 2 datasets
Identification of scientific concepts in research articles.
Benchmarks
These leaderboards are used to track progress in Scientific Concept Extraction
| Trend | Dataset | Best Model | Paper | Code | Compare |
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SemEval-2021 Task-11
unarXive
Most implemented papers
Domain-independent Extraction of Scientific Concepts from Research Articles
We examine the novel task of domain-independent scientific concept extraction from abstracts of scholarly articles and present two contributions.
unarXive: A Large Scholarly Data Set with Publications' Full-Text, Annotated In-Text Citations, and Links to Metadata
The data set, which is made freely available for research purposes, not only can enhance the future evaluation of research paper-based and citation context-based approaches, but also serve as a basis for new ways to analyze in-text citations, as we show prototypically in this article.
