Papers with stage training scheme

1 papers
Large-Scale and Multi-Perspective Opinion Summarization with Diverse Review Subsets (2023.findings-emnlp)

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Challenge: Existing methods for opinion summarization are deficient in epitomizing extensive reviews and offering opinion summaries from various angles.
Approach: They propose a supervised opinion summarization framework that takes sentiment orientation into account and trains the summarizer to learn from sub-optimal and optimal review subsets.
Outcome: The proposed framework generates pros, cons, and verdict summaries from hundreds of input reviews.

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