The first edition of the shared task organised by the researchers at CORE, Knowledge Media Institute (KMi), The Open University, UK featured the classification of citations for research impact analysis. The new shared task, known as the 3C Citation Context Classification task, organised as part of the 8th International Workshop on Mining Scientific Publications (WOSP), 2020 and was hosted on the free data science competitions hosting platform, Kaggle InClass.
Read more at the link.
The I4OA was launched this September, calling for an increase in the volume of open abstracts. After having identified that either a large number of the published literature does not have open abstracts, or that available abstracts are currently disseminated via proprietary platforms with reuse restrictions, I4OA calls the publishing community to open up all abstracts of the published literature.
CORE fully supports the I4OA initiative as this matches CORE’s mission. By being an aggregator of research content available in thousands of repositories and journals, we understand how important it is for metadata of research papers, which includes the abstract, to be openly available.
This blog post was originally posted at the arXiv blog.
arXiv readers now have a faster way to find articles relevant to their interests. From an article abstract page, readers can simply activate the CORE Recommender to find additional open access research on similar topics.
The Recommender, part of the arXivLabs toolset, was developed by CORE, a global aggregator of open access scientific content, which provides access to millions of full texts. CORE’s mission is to aggregate all open access research outputs from repositories and journals worldwide and make them available to the public. In this way, CORE facilitates free unrestricted access to research for all.