Authors:
Junpei Nakamura
;
Yasuhiro Tajima
and
Yoshiyuki Kotani
Affiliation:
Tokyo University of Agriculture and Technology, Japan
Keyword(s):
Web mining, Web dialogue systems, Metadata and Metamodeling.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Knowledge Discovery and Information Retrieval
;
Knowledge-Based Systems
;
Metadata and Metamodeling
;
Soft Computing
;
Symbolic Systems
;
Web Information Systems and Technologies
;
Web Interfaces and Applications
;
Web Mining
Abstract:
It is important to find out interactive links between pairs of utterances in multi-party conversation like an online chat. Though the usage of linguistic information is necessary to do this, we showed the better performance to this criterion by using physical meta-information that consists of the number of conversation members, the distance between utterances, and the frequency of individual utterance. The result of the examination of Decision Tree learning showed the accuracy is 84.1%, the precision is 87.1% and the recall is 66.9% for link between same speaker’s utterances, and the accuracy is 77.5%, the precision is 68.5% and the recall is 56.8% for link between others’ utterances. The result of the examination without meta-information showed the accuracy is 62.7%, the precision is 86.7%, the recall is 64.5% for same speaker’s utterances, and the accuracy is 77.9%, the precision is 73.8% and the recall is 49.9% for others’. These results showed we could find new links by using met
a-information.
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