Cited By
View all- Lichouri MDjeradi RDjeradi AAbbas M(2019)Towards a Portable SLU System Applied to MSA and Low-resourced Algerian Dialects10.1007/978-3-030-14118-9_58(576-585)Online publication date: 17-Mar-2019
A new Automatic approach for Understanding the Spontaneous Utterance in Human-Machine Dialogue based on Automatic Text Categorization
Article No.: 50, Pages 1 - 5
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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- A new Automatic approach for Understanding the Spontaneous Utterance in Human-Machine Dialogue based on Automatic Text Categorization
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November 2015
495 pages
ISBN:9781450334587
DOI:10.1145/2816839
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Association for Computing Machinery
New York, NY, United States
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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
View all- Lichouri MDjeradi RDjeradi AAbbas M(2019)Towards a Portable SLU System Applied to MSA and Low-resourced Algerian Dialects10.1007/978-3-030-14118-9_58(576-585)Online publication date: 17-Mar-2019
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