Measuring Adaptation Between Dialogs

نویسندگان

  • Svetlana Stenchikova
  • Amanda Stent
چکیده

The paper proposes two new approaches for measuring adaptation between dialogs. These approaches permit measurement of adaptation both to conversational partner (partner adaptation) and to the local dialog context (recency adaptation), and can be used with different types of feature. We used these measures to study adaptation in the Maptask corpus of spoken dialogs. We show that for syntactic features, recency adaptation is stronger than partner adaptation; however, we find no significant differences for lexical adaptation using these measures.

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تاریخ انتشار 2007