Papers with self-training summaries

1 papers
OpineSum: Entailment-based self-training for abstractive opinion summarization (2023.findings-acl)

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Challenge: Abstractive summarization is promising for fluently comparing opinions from a set of reviews about a place or product.
Approach: They propose a novel method that automatically leverages common opinions across reviews to create powerful abstractive models.
Outcome: The proposed method outperforms strong peer systems in both settings.

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