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Improving Topic Relevance Model by Mix-structured Summarization and LLM-based Data Augmentation
To tackle above two problems, we first take query concatenated with the query-based summary and the document summary without query as the input of topic relevance model, which can help model learn the relevance degree between query and the core topic of document.
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