Making the Most of Data - Augmented SBERT

Explore data augmentation techniques for Natural Language Processing in this 55-minute video tutorial. Learn how to leverage augmented SBERT (AugSBERT) to generate and label data for low-resource domains, addressing the challenge of limited datasets in niche fields. Discover the importance of data augmentation in improving machine learning model performance, particularly for semantic search applications. Gain insights into the 'in-domain' approach of AugSBERT and its practical implementation. Access additional resources, including a free NLP for Semantic Search course, related articles, and community support through Discord. Enhance your understanding of data augmentation strategies to overcome the limitations of scarce labeled data in specialized domains.