Friday, May 18, 2018

Lecture 21 (17/05/2018): supervised Word Sense Disambiguation

Two important dimensions: supervision and knowledge. Supervised Word Sense Disambiguation: pros and cons. Vector representation of context. Main supervised disambiguation paradigms: decision trees, neural networks, instance-based learning, Support Vector Machines, IMS with embeddings, neural approaches to WSD.

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