Papers with P(C|X

1 papers
Learning Features from Co-occurrences: A Theoretical Analysis (C18-1)

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Challenge: Existing theories for word classification and clustering are lacking.
Approach: They propose a theory that uses a function to represent a word by its co-occurrences with other words in context.
Outcome: The proposed model improves word classification and clustering by using multiple features.

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