Semantic addressable encoding

Cheng Yuan Liou; Jau Chi Huang; Wen Chie Yang

doi:10.1007/11893028_21

Semantic addressable encoding

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

^*Corresponding author for this work

National Taiwan University

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

3 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 [4]. Experiments performed on a corpus composed of Shakespeare's writings show its linguistic analysis and categorization abilities.

Original language	English
Title of host publication	Neural Information Processing - 13th International Conference, ICONIP 2006, Proceedings
Publisher	Springer Verlag
Pages	183-192
Number of pages	10
ISBN (Print)	3540464794, 9783540464792
DOIs	https://doi.org/10.1007/11893028_21
Publication status	Published - 2006
Externally published	Yes
Event	13th International Conference on Neural Information Processing, ICONIP 2006 - Hong Kong, China Duration: 3 Oct 2006 → 6 Oct 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4232 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	13th International Conference on Neural Information Processing, ICONIP 2006
Country/Territory	China
City	Hong Kong
Period	3/10/06 → 6/10/06

Keywords

Authorship
Categorization
Content addressable memory
Elman network
Linguistic analysis
Personalized code
Semantic search
Word perception

Access to Document

10.1007/11893028_21

Cite this

Liou, C. Y., Huang, J. C., & Yang, W. C. (2006). Semantic addressable encoding. In Neural Information Processing - 13th International Conference, ICONIP 2006, Proceedings (pp. 183-192). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4232 LNCS). Springer Verlag. https://doi.org/10.1007/11893028_21

@inproceedings{c257f595954e48bb894f38e2194ea1a0,

title = "Semantic addressable encoding",

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 [4]. Experiments performed on a corpus composed of Shakespeare's writings show its linguistic analysis and categorization abilities.",

keywords = "Authorship, Categorization, Content addressable memory, Elman network, Linguistic analysis, Personalized code, Semantic search, Word perception",

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

year = "2006",

doi = "10.1007/11893028_21",

language = "English",

isbn = "3540464794",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "183--192",

booktitle = "Neural Information Processing - 13th International Conference, ICONIP 2006, Proceedings",

note = "13th International Conference on Neural Information Processing, ICONIP 2006 ; Conference date: 03-10-2006 Through 06-10-2006",

}

Liou, CY, Huang, JC & Yang, WC 2006, Semantic addressable encoding. in Neural Information Processing - 13th International Conference, ICONIP 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4232 LNCS, Springer Verlag, pp. 183-192, 13th International Conference on Neural Information Processing, ICONIP 2006, Hong Kong, China, 3/10/06. https://doi.org/10.1007/11893028_21

Semantic addressable encoding. / Liou, Cheng Yuan; Huang, Jau Chi; Yang, Wen Chie.
Neural Information Processing - 13th International Conference, ICONIP 2006, Proceedings. Springer Verlag, 2006. p. 183-192 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4232 LNCS).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

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AU - Liou, Cheng Yuan

AU - Huang, Jau Chi

AU - Yang, Wen Chie

PY - 2006

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AB - 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.

KW - Authorship

KW - Categorization

KW - Content addressable memory

KW - Elman network

KW - Linguistic analysis

KW - Personalized code

KW - Semantic search

KW - Word perception

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SN - 9783540464792

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Neural Information Processing - 13th International Conference, ICONIP 2006, Proceedings

PB - Springer Verlag

T2 - 13th International Conference on Neural Information Processing, ICONIP 2006

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ER -

Semantic addressable encoding

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Keywords

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