Semantic addressable encoding

  • Authors:
  • Cheng-Yuan Liou;Jau-Chi Huang;Wen-Chie Yang

  • Affiliations:
  • Department of Computer Science and Information Engineering, National Taiwan University;Department of Computer Science and Information Engineering, National Taiwan University;Department of Computer Science and Information Engineering, National Taiwan University

  • Venue:
  • ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
  • Year:
  • 2006

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Abstract

This paper presents an automatic acquisition process to acquire the semantic meaning for the words. This process obtains the representation vectors for stemmed words by iteratively improving the vectors, using a trained Elman network [4]. Experiments performed on a corpus composed of Shakespeare's writings show its linguistic analysis and categorization abilities. Index Terms: word perception, authorship, categorization, semantic search, Elman network, linguistic analysis, personalized code, content addressable memory.