期刊
NEUROCOMPUTING
卷 71, 期 16-18, 页码 3150-3157出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.neucom.2008.04.030
关键词
Word perception; Compositional representation; Authorship; Stylistic similarity; Categorization; Semantic search; Elman network; Linguistic analysis; Personalized code; Content addressable memory; Polysemous word
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. Experiments performed on a corpus composed of Shakespeare's writings show its linguistic analysis and categorization abilities. (C) 2008 Elsevier B.V. All rights reserved.
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