Corpus ID: 210838584

Classifying Wikipedia in a fine-grained hierarchy: what graphs can contribute

@article{Viard2020ClassifyingWI,
  title={Classifying Wikipedia in a fine-grained hierarchy: what graphs can contribute},
  author={Tiphaine Viard and Thomas McLachlan and Hamidreza Ghader and S. Sekine},
  journal={ArXiv},
  year={2020},
  volume={abs/2001.07558}
}
Wikipedia is a huge opportunity for machine learning, being the largest semi-structured base of knowledge available. Because of this, many works examine its contents, and focus on structuring it in order to make it usable in learning tasks, for example by classifying it into an ontology. Beyond its textual contents, Wikipedia also displays a typical graph structure, where pages are linked together through citations. In this paper, we address the task of integrating graph (i.e. structure… Expand

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