Lecture 10: semantic similarity and relatedness / Natural Language Generation

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What is semantic relatedness? String-based similarity measures. Longest common substring/subsequence; n-gram overlap. Knowledge-based approaches: Lesk; Leacock & Chodorow; Wu & Palmer. Corpus-based approaches: Vector-space models, Explicit Semantic Analysis (ESA). Align, Disambiguate and Walk. Cross-level semantic similarity.

Introduction to Natural Language Generation, by prof. Michael Zock.

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