Modern NLP: Data Collection, Annotation & Biases

In course

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Description

This lecture covers the process of data annotation in Natural Language Processing, including the effects of biases on fine-tuning models. It discusses transfer learning, pretraining, and fine-tuning models on different datasets. The instructor also presents benchmark performance evaluations and the challenges in natural language understanding.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_r8chhg0i

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