Semantic Addressable Encoding | Zendy

ChengYuan Liou | Zendy; Jau-Chi Huang | Zendy; Wen-Chie Yang | Zendy

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Semantic Addressable Encoding

Author(s) -

ChengYuan Liou,

Jau-Chi Huang,

Wen-Chie Yang

Publication year - 2006

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-46479-4

DOI - 10.1007/11893028_21

Subject(s) - computer science , natural language processing , categorization , artificial intelligence , representation (politics) , semantic network , encoding (memory) , word (group theory) , process (computing) , meaning (existential) , index (typography) , code (set theory) , semantic analysis (machine learning) , linguistics , programming language , psychology , philosophy , politics , political science , law , psychotherapist , set (abstract data type)

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.

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