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Ranking-based Dialog Management Approaches for Non-task-oriented Conversations

Title
Ranking-based Dialog Management Approaches for Non-task-oriented Conversations
Authors
노형종
Date Issued
2013
Publisher
포항공과대학교
Abstract
This paper presents a new hybrid dialog management framework that integrates a statistical ranking algorithm into an example-based dialog management approach for chat-like dialogs. The proposed model uses ranking features that consider various aspects of dialogs, including the relative importance of speech acts, dialog history sequences, and the causal relationships among speech acts and slot-filling states. The ranking algorithm enables one to aggregate these feature scores systematically and to generate diverse system responses. Additionally, the model provides detailed feedback by analyzing the causal relationships among speech acts and predicting the user’s possible intentions associated with a given dialog states. Simulated experimental results demonstrate that our approach is effective for task-oriented dialogs and chat-like dialogs. Additionally, a case study using elementary school students implies that the proposed system can be used for language learning purposes in addition to task-oriented services.
URI
http://postech.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000001625421
http://oasis.postech.ac.kr/handle/2014.oak/1985
Article Type
Thesis
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