Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks

@article{Wang2015IncorporatingWK,
  title={Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks},
  author={Chenguang Wang and Yangqiu Song and Ahmed El-Kishky and Dan Roth and Ming Zhang and Jiawei Han},
  journal={KDD : proceedings. International Conference on Knowledge Discovery & Data Mining},
  year={2015},
  volume={2015},
  pages={1215-1224}
}
One of the key obstacles in making learning protocols realistic in applications is the need to supervise them, a costly process that often requires hiring domain experts. We consider the framework to use the world knowledge as indirect supervision. World knowledge is general-purpose knowledge, which is not designed for any specific domain. Then the key challenges are how to adapt the world knowledge to domains and how to represent it for learning. In this paper, we provide an example of using… CONTINUE READING
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