DocumentCode
2736913
Title
Improving Human-Agent Conversations by Accessing Contextual Knowledge from Wikipedia
Author
Breuing, Alexa
Author_Institution
Center of Excellence Cognitive Interaction Technol., Bielefeld Univ., Bielefeld, Germany
Volume
3
fYear
2010
fDate
Aug. 31 2010-Sept. 3 2010
Firstpage
428
Lastpage
431
Abstract
In order to talk to each other meaningfully, conversational partners utilize different types of conversational knowledge. Due to the fact that speakers often use grammatically incomplete and incorrect sentences in spontaneous language, knowledge about conversational and terminological context turns out to be as much important in language understanding as traditional linguistic analysis. In the context of the KnowCIT project we want to improve human-agent conversations by connecting the agent to an adequate representation of such contextual knowledge drawn from the online encyclopedia Wikipedia. Thereby we make use of additional components provided by Wikipedia which goes beyond encyclopedical information to identify the current dialog topic and to implement human like look-up abilities.
Keywords
Web sites; cooperative systems; interactive systems; linguistics; natural language processing; KnowCIT project; Wikipedia; contextual knowledge; conversational context; human-agent conversations; language understanding; linguistic analysis; terminological context; Context; Data mining; Electronic publishing; Encyclopedias; Humans; Internet; Contextual Knowledge; Dialog Topic; Embodied Conversational Agents; Human-Agent Conversation; Wikipedia;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
Conference_Location
Toronto, ON
Print_ISBN
978-1-4244-8482-9
Electronic_ISBN
978-0-7695-4191-4
Type
conf
DOI
10.1109/WI-IAT.2010.231
Filename
5614425
Link To Document