The 3C Citation Context Classification Shared Task

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

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8th International Workshop on Mining Scientific Publications (WOSP), 2020

Due to unprecedented events following the global pandemic situation, this year, the 8th International Workshop on Mining Scientific Publications (WOSP), 2020 was fully organised virtually. The entire workshop constituted a single day, with four sessions, featuring keynote talks, with accepted paper presentations and a shared task on citation context classification. More details regarding the program structure can be found here. The workshop this year was organised by CORE, The Open University, UK, in collaboration with Oak Ridge National Laboratory (ORNL), Tennessee, US. More about it here. read more...

3C Shared task: A Kaggle Competition for Citation Context Classification

Researchers from CORE are organizing a new shared task: the ‘3C’ Citation Context Classification Task, as part of the International Workshop on Mining Scientific Publications, WOSP 2020 ( The new task will be hosted on Kaggle (, which is a popular Machine Learning/Data Science competition hosting platform. The competition uses a portion of the  Academic Citation Typing (ACT) dataset  (, which is the largest dataset of its type in existence, which is also the only dataset of citations annotated by authors and the only truly multidisciplinary dataset. Using this dataset, the shared task aims at classifying the citation context in research publications based on their influence and purpose. There will be two subtasks associated with this shared task. The subtask A is a multi-class classification problem, where citations are categorized into six different classes based on the purpose. The second subtask B is a binary classification task, based on the citation influence. read more...