Modeling word perception using the Elman network

Cheng Yuan Liou; Jau Chi Huang; Wen Chie Yang

doi:10.1016/j.neucom.2008.04.030

Modeling word perception using the Elman network

Cheng Yuan Liou^*, Jau Chi Huang, Wen Chie Yang

^*Corresponding author for this work

National Taiwan University

Research output: Contribution to journal › Article › peer-review

129 Citations (Scopus)

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.

Original language	English
Pages (from-to)	3150-3157
Number of pages	8
Journal	Neurocomputing
Volume	71
Issue number	16-18
DOIs	https://doi.org/10.1016/j.neucom.2008.04.030
Publication status	Published - Oct 2008
Externally published	Yes

Keywords

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

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10.1016/j.neucom.2008.04.030

Cite this

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title = "Modeling word perception using the Elman network",

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 = "Authorship, Categorization, Compositional representation, Content addressable memory, Elman network, Linguistic analysis, Personalized code, Polysemous word, Semantic search, Stylistic similarity, Word perception",

author = "Liou, {Cheng Yuan} and Huang, {Jau Chi} and Yang, {Wen Chie}",

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KW - Categorization

KW - Compositional representation

KW - Content addressable memory

KW - Elman network

KW - Linguistic analysis

KW - Personalized code

KW - Polysemous word

KW - Semantic search

KW - Stylistic similarity

KW - Word perception

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VL - 71

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Modeling word perception using the Elman network

Abstract

Keywords

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