Papers with PU learning algorithm

1 papers
Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning (P19-1)

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Challenge: Empirical studies on four public NER datasets demonstrate the effectiveness of our proposed method.
Approach: They propose a method to perform named entity recognition using unlabeled data and named entity dictionaries.
Outcome: The proposed method can estimate task loss as if there is fully labeled data.

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