Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity

Abstract

Semantic similarity is an essential component of many Natural Language Processing applications. However, prior methods for computing semantic similarity often operate at different levels, e.g., single words or entire documents, which requires adapting the method for each data type. We present a unified approach to semantic similarity that operates at… (More)

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