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When Your Users Are Not Serious : Using Web-based Associations, Affect and Humor for Generating Appropriate Utterances for Inappropriate Input

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Please use this identifier to cite or link to this item:http://hdl.handle.net/2115/63795

Title: When Your Users Are Not Serious : Using Web-based Associations, Affect and Humor for Generating Appropriate Utterances for Inappropriate Input
Authors: Rzepka, Rafal Browse this author →KAKEN DB
Higuchi, Shinsuke Browse this author
Ptaszynski, Michal Browse this author
Dybala, Pawel Browse this author
Araki, Kenji Browse this author
Keywords: non-task oriented dialogue
web-mining
affect analysis
pun generation
Issue Date: 6-Jan-2010
Publisher: 人工知能学会
Journal Title: 人工知能学会論文誌
Volume: 25
Issue: 1
Start Page: 114
End Page: 121
Publisher DOI: 10.1527/tjsai.25.114
Abstract: In this paper we propose a method for generating simple but semantically correct replies to user inputs which are not related to a given task of a task-oriented information kiosk or any other natural language interface placed in a public place. We describe our method for retrieving meaningful associations from the Web and adding modality based on chatlog data. After showing the results of the evaluation experiments, we introduce an implementation of an affect analysis algorithm and pun generator to increase users’ satisfaction level.
Type: article
URI: http://hdl.handle.net/2115/63795
Appears in Collections:工学院・工学研究院 (Graduate School of Engineering / Faculty of Engineering) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: Rzepka, Rafal

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