| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 410735 | Neurocomputing | 2008 | 8 Pages |
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. Experiments performed on a corpus composed of Shakespeare's writings show its linguistic analysis and categorization abilities.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Cheng-Yuan Liou, Jau-Chi Huang, Wen-Chie Yang,