Neural Model Capacity
Taylor discusses the challenge of balancing high-capacity neural models with interpretable modeling assumptions in machine learning, emphasizing the need to inform models with prior knowledge. Suchin explores the trade-off between knowing underlying processes and learning from data in the context of NLP, highlighting the importance of incorporating linguistic insights into models.In this clip
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NLP Highlights
97 - Automated Analysis Of Historical Printed Documents, With Taylor Berg-Kirkpatrick
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