Papers by Jongyeong Lee

1 papers
Learning Only from Relevant Keywords and Unlabeled Documents (D19-1)

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Challenge: Existing methods for document classification are limited due to labeling and privacy concerns.
Approach: They propose a super-vised text classification framework that provides keywords as a hint for classifying a document to a target class.
Outcome: The proposed framework is simple to implement and has flexible choices of models, e.g., linear models or neural networks.

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