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Reading Between the Lines - The Hidden Bias of NLP - Dr Dirk Hovy

Alan Turing Institute via YouTube

Overview

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This workshop aims to bridge disciplines in analyzing text as social and cultural data by addressing methodological challenges in NLP/ML, humanities, and social sciences. Participants will learn about selection bias, annotation bias, model bias, and design bias in the context of studying social and cultural phenomena using large-scale text data. The teaching method involves exploring these biases and discussing the implications for research methodologies. This workshop is intended for researchers and practitioners interested in the intersection of NLP, machine learning, humanities, and social sciences.

Syllabus

Alan Turing
Selection Bias
Annotation Bias
MACE
Model Bias
Design Bias
American English
Moving Forward
Questions?

Taught by

Alan Turing Institute

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