Semantic Relatedness Using Salient Semantic Analysis

This paper introduces a novel method for measuring semantic relatedness using semantic profiles constructed from salient encyclopedic features. The model is built on the notion that the meaning of a word can be characterized by the salient concepts found in its immediate context. In addition to being computationally efficient, the new model has superior performance and remarkable consistency when compared to both knowledge-based and corpus-based state-of-the-art semantic relatedness models.

• Publication year

  2011

• Venue

  AAAI Conference on Artificial Intelligence

• Publication date

  2011-08-04

• Fields of study

  Linguistics, Computer Science

• Identifiers
  DOI 10.1609/aaai.v25i1.7971
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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