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Discover the groundbreaking use of Sentence Transformer technology in automatic filtering, spotlighting potentially relevant user responses within dialog datasets. With a focus on precision, this article showcases how 25% of the data becomes more enriched with user responses similar to those indicating errors. Dive into the details of dataset sizes and explore the transformative impact of automatic filtering on dialog research.
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