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Learning Semantic Similarity.

, , and . Advances in Neural Information Processing Systems 15: Neural, page 657-664. MIT Press, (2002)

Abstract

The standard representation of text documents as bags of words suffers from well known limitations, mostly due to its inability to exploit semantic similarity between terms. Attempts to incorporate some notion of term similarity include latent semantic indexing 8, the use of semantic networks 9, and probabilistic methods 5. In this paper we propose two methods for inferring such similarity from a corpus. The first one defines word-similarity based on document-similarity and viceversa,...

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