2001 Fiscal Year Final Research Report Summary
A Study on the Characteristics of Initiative Using Spoken Dialogue Corpora
| Project/Area Number |
11610555
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
言語学・音声学
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| Research Institution | Japan Advanced Institute of Science and Technology |
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Principal Investigator |
ISHIZAKI Masato Japan Advanced Institute of Science and Technology, School of Knowledge Science, Associate Professor, 知識科学研究科, 助教授 (30303340)
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| Project Period (FY) |
1999 – 2001
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| Keywords | Initiative / Context / Annotators' Criteria / Lexical information / Clustering / Maximum entropy method |
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| Research Abstract |
Conversation Analysis and Psycholinguistics have revealed that communication is maintained through reciprocal coordination at various levels. For example, under noisy environments like train stations, people speak, up to be heard and ask the others to repeat when they cannot hear. This level is hierarchically organized from attentional (people attend to the others' talk), physical (people can hear what the others say), linguistic (people can understand the words, syntactic structures and semantic contents of the others' talk) and understanding (people can understand the others' utterances in context). To explore reciprocal coordination at the understanding level, this study focused on the concept of dialogue initiative and tackled the problems of 1) how the.boundaries of the initiative can be reliably judged by human annotators and 2) how those boundaries can be predicted by computers. For 1), we created working criteria for judging initiative boundaries and showed that the agreement rate among annotators is around 90 % (κ score is around 07) For 2), we confirmed that the maximum entropy method correctly predicts initiative boundaries using lexical information and block distances calculated based on word clustering at around 70 % recall and 55 % precision.
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