Modeling word perception using the Elman network

NEUROCOMPUTING

卷:71

Article; Proceedings Paper

Liou, Cheng-Yuan¹  Huang, Jau-Chi¹  Yang, Wen-Chie¹ 

[1] Natl Taiwan Univ, Dept Comp Sci & Informat Engn, Taipei, Taiwan

关键词: Word perception;    Compositional representation;    Authorship;    Stylistic similarity;    Categorization;    Semantic search;    Elman network;    Linguistic analysis;    Personalized code;    Content addressable memory;    Polysemous word;   

DOI  :  10.1016/j.neucom.2008.04.030

来源: Elsevier

【 摘 要 】

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.

【 授权许可】

Free