Lecture

Neural Word Embeddings

Description

This lecture covers the fundamentals of neural word embeddings in modern NLP, focusing on dense vector representations like CBOW, Skipgram, GloVe, and fastText. The instructor explains how to represent natural language sequences, learn similarity between words, and train semantics-encoding word embeddings.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_sii5j6sw

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Ontological neighbourhood

Information engineering

Natural language processing: Topics in natural language processing

Machine learning: Artificial neural networks

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