Papers by Zied Haj-Yahia

1 papers
Towards Unsupervised Text Classification Leveraging Experts and Word Embeddings (P19-1)

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Challenge: a new method for text classification uses supervised and semisupervised approaches to classify documents into categories.
Approach: They propose an unsupervised method to classify documents into categories simply described by a label.
Outcome: The proposed method increases F1-score over relying on human expertise and language models on standard corpora.

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