Stanford Seminar - Training Classifiers with Natural Language Explanations
YouTube
60 Courses
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Overview
Discover an innovative approach to training classifiers at the Stanford Seminar on "Training Classifiers with Natural Language Explanations." Dive into the world of BabbleLabble, an extraordinary framework designed to revolutionize classifier training by utilizing natural language explanations from annotators. This technique allows for the conversion of explanations into programmatic labeling functions through a semantic parser, facilitating the generation of noisy labels from a vast pool of unlabeled data. This method's efficiency is demonstrated through its application in three relation extraction tasks, showing that classifiers can be trained 5-100 times faster compared to traditional labeling methods. Moreover, this process remarkably achieves comparable F1 scores, proving the method's effectiveness despite the inherent imperfections of labeling functions and the simplicity of the rule-based semantic parser employed. For those interested in the detailed findings, the full paper is accessible at https://arxiv.org/abs/1805.03818. This seminar is a must-watch for enthusiasts and professionals in Machine Learning and Natural Language Processing (NLP), brought to you by Stanford University and available on YouTube.
Syllabus
Taught by
Tags
YouTube
YouTube
34 Courses
YouTube
Free Online Course
English
26 minutes
On-Demand
