Beyond Cross-Entropy: Discounted Least Information Theory of Entropy (DLITE) Loss and the Impact of Loss Functions on AI-Driven Named Entity Recognition

Abstract

This work examines DLITE-based loss alongside other loss functions for AI-driven named entity recognition.

Publication
Information, 16(9), 760
Information Theory Machine Learning Data and Information
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