Lecture

Word Embeddings: Context and Representation

In course

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Description

This lecture delves into word embeddings, focusing on the context of words and their representations in a low-dimensional space. Topics covered include word-context relationships, similarity-based representations, learning probabilities, and optimizing model parameters.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_6h98xkas

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks

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