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Please use this identifier to cite or link to this item: http://hdl.handle.net/1812/351

Authors: Aida Mustapha
Md. Nasir Sulaiman
Ramlan Mahmod
Hasan Selamat
Keywords: Dialogue system
Response generation
Natural language generation
Bayesian Networks
Issue Date: 2007
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.
Description: Proceeding of the 2nd International Conference on Informatics (Informatics 2007), 27th-28th November 2007, Hilton Petaling Jaya Hotel, Petaling Jaya, Selangor, Malaysia. Page T1-92 - T1-98
URI: http://dspace.fsktm.um.edu.my/handle/1812/351
ISBN: 978-983-43491-1-0
Appears in Collections:Informatics 2007

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