Intention-Based Segmentation: Human Reliability and Correlation with Linguistic Cues

Abstract

Based on an empirical study of a corpus of spoken narratives, we show that human subjects can reliably perform linear segmentation of discourse, using communicative purpose as their criterion. The significant agreement among subjects leads us to conclude that linear segmentation is feasible for automation. We present a method for evaluating automated… (More)

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