Machine Learning with World Knowledge: The Position and Survey

@article{Song2017MachineLW,
  title={Machine Learning with World Knowledge: The Position and Survey},
  author={Yangqiu Song and Dan Roth},
  journal={CoRR},
  year={2017},
  volume={abs/1705.02908}
}
Machine learning has become pervasive in multiple domains, impacting a wide variety of applications, such as knowledge discovery and data mining, natural language processing, information retrieval, computer vision, social and health informatics, ubiquitous computing, etc. Two essential problems of machine learning are how to generate features and how to acquire labels for machines to learn. Particularly, labeling large amount of data for each domain-specific problem can be very time consuming… CONTINUE READING
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