Construction of Automatic Detector for Dialogue Breakdowns based on Rules with Keywords Extraction

Abstract

This paper presents a new method which detects dialogue breakdowns automatically for the dialogue task of Project Next NLP. Our keyword extraction is performed by a morphological analyser using our customized dictionary, regarding dictionary matched morphemes as keywords. We use these keywords as an utterance forcus. We establish three rules which we found sheer variety of dialog breakdowns, based on our observation and genaralization of the given dialog data. We implemented detectors by these rules which tries to exclude possible latent ambiguity of anotations.