AliHaider0343/Automated-Text-Selection-for-Raw-Data-Annotation-
View on GitHub ↗Related repositories →The paper tackles redundancy in user-generated data with an innovative text selection method, removing duplicates and using vectorized pruning. It enhances dataset quality, reduces redundancy, and improves vocabulary diversity, as shown by metrics like Type-Token Ratio and Herfindahl-Hirschman Index.
active 2024-01-04 → 2024-01-04 (UTC)
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