research-article

A new Automatic approach for Understanding the Spontaneous Utterance in Human-Machine Dialogue based on Automatic Text Categorization

Authors:

Mohamed Lichouri,

Rachida DjeradiAuthors Info & Claims

IPAC '15: Proceedings of the International Conference on Intelligent Information Processing, Security and Advanced Communication

Article No.: 50, Pages 1 - 5

https://doi.org/10.1145/2816839.2816894

Published: 23 November 2015 Publication History

IPAC '15: Proceedings of the International Conference on Intelligent Information Processing, Security and Advanced Communication

A new Automatic approach for Understanding the Spontaneous Utterance in Human-Machine Dialogue based on Automatic Text Categorization

Pages 1 - 5

Abstract
References

Abstract

In the present paper, we suggested an implementation of an automatic understanding system of the statement in Human-Machine Communication. The architecture we adopted was based on a stochastic approach that assumes that the understanding of a statement is nothing but a simple theme identification process. Therefore, we presented a new theme identification method based on a documentary retrieval technique which is text (document) classification [2]. The method we suggested was validated on a basic platform that give information related to university schooling management (Querying a student database), taking into consideration a textual input in french. This method has achieved a theme identification rate of 95% and a correctly utterance understanding rate of about 91.66%.

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Cited By

Lichouri MDjeradi RDjeradi AAbbas M(2019)Towards a Portable SLU System Applied to MSA and Low-resourced Algerian DialectsThe International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019)10.1007/978-3-030-14118-9_58(576-585)Online publication date: 17-Mar-2019
https://doi.org/10.1007/978-3-030-14118-9_58

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A new Automatic approach for Understanding the Spontaneous Utterance in Human-Machine Dialogue based on Automatic Text Categorization

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cover image ACM Other conferences

IPAC '15: Proceedings of the International Conference on Intelligent Information Processing, Security and Advanced Communication

November 2015

495 pages

ISBN:9781450334587

DOI:10.1145/2816839

Editors:
Djallel Eddine Boubiche
University of Batna 2, Algeria
,
Faouzi Hidoussi
University of Batna 2, Algeria
,
Homero Toral Cruz
University of Quintana Roo, Mexico

Copyright © 2015 ACM.

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Published: 23 November 2015

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IPAC '15

IPAC '15: International Conference on Intelligent Information Processing, Security and Advanced Communication

November 23 - 25, 2015

Batna, Algeria

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Overall Acceptance Rate 87 of 367 submissions, 24%

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Cited By

Lichouri MDjeradi RDjeradi AAbbas M(2019)Towards a Portable SLU System Applied to MSA and Low-resourced Algerian DialectsThe International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2019)10.1007/978-3-030-14118-9_58(576-585)Online publication date: 17-Mar-2019
https://doi.org/10.1007/978-3-030-14118-9_58

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