Modeling the discovery of critical utterances

Authors:
Calkin A. S. Montero;Yukio Ohsawa;Kenji Araki
Affiliations:
Graduate School of Information Science and Technology, Hokkaidō University, Sapporo City, Japan;Graduate School of Business Science, University of Tsukuba, Tokyo, Japan;Graduate School of Information Science and Technology, Hokkaidō University, Sapporo City, Japan
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Year:
2005

Citing 3
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Dialogue modeling

Survey of the state of the art in human language technology
KeyGraph: Automatic Indexing by Co-occurrence Graph based on Building Construction Metaphor

ADL '98 Proceedings of the Advances in Digital Libraries Conference
Chance Discovery

Chance Discovery

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Abstract

The ubiquity of chance discovery can be seen in many areas of application, fundamentally when there are events that are difficult to find or predict. In this paper, we present our idea of applying a chance discovery tool, the KeyGraph, for identifying relationship of co-occurrence between the utterances of the interlocutors during a chat section.