On the Theory of Weak Supervision for Information Retrieval

@inproceedings{Zamani2018OnTT,
  title={On the Theory of Weak Supervision for Information Retrieval},
  author={Hamed Zamani and W. Bruce Croft},
  booktitle={ICTIR '18},
  year={2018}
}
Neural network approaches have recently shown to be effective in several information retrieval (IR) tasks. However, neural approaches often require large volumes of training data to perform effectively, which is not always available. To mitigate the shortage of labeled data, training neural IR models with weak supervision has been recently proposed and received considerable attention in the literature. In weak supervision, an existing model automatically generates labels for a large set of… CONTINUE READING

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