PROBABILISTIC MODEL FOR RESPONSE GENERATION WITH APPLICATION OF BAYESIAN NETWOKRS

Mustapha , Aida and Sulaiman , Md. Nasir and Mahmod , Ramlan and Selamat, Hasan (2007) PROBABILISTIC MODEL FOR RESPONSE GENERATION WITH APPLICATION OF BAYESIAN NETWOKRS. In: 2nd International Conference on Informatics (Informatics 2007), Hilton Petaling Jaya Hotel, Petaling Jaya, Selangor, Malaysia.

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Official URL: http://dspace.fsktm.um.edu.my/handle/1812/351

Abstract

This paper presents Bayesian Networks for probabilistic response generation in a mixed-initiative, transaction dialogue system. The probabilistic approach is to compute the probability of each server response based on the training corpus, and returns to user the response with the highest probability of answering the semantic input from user utterance. Apart from the dialogue acts as provided by the DAMSL-annotated corpus, we proposed two additional types of random variables for the Bayesian Networks, which are the Surface Linguistic Features and the Dialogue Context Features. The BN representation of the dialogue corpus is hoped to allow the system to reason about the dialogue utterances available so far and predict the next system response that will satisfy the user utterance both linguistically and contextually.

Item Type: Conference or Workshop Item (Paper)
Subjects: Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: MS SITI NUR ATIKAH MOHAMAD RUSDI
Date Deposited: 16 Jul 2013 02:28
Last Modified: 16 Jul 2013 02:28
URI: http://repository.um.edu.my/id/eprint/421

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