The need for administering automated methods for evaluating research is gaining more attention lately. The primary motivation for this is to replace the regular, more exhausting exercises like peer-reviewing and the not so sophisticated, less accepted wiser ways of ranking research works like Impact Factors, which solely depends on the citation-frequency. One such proposition is the utilisation of other citation aspects, such as function or importance, for redefining the current research evaluation decision frameworks, The recently concluded 3C citation context classification shared task based on purpose and influence is one such effort aimed at providing a unifying platform for researchers in this domain, to push research further in this direction. Read the continuation on the Jisc Research blog.
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.