Intention-Based Segmentation: Human Reliability And Correlation With Linguistic Cues (1993)
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| Venue: | In Proceedings of the 31st Annual Meeting of the Association for Computational Linguistics |
| Citations: | 49 - 5 self |
BibTeX
@INPROCEEDINGS{Passonneau93intention-basedsegmentation:,
author = {Rebecca J. Passonneau},
title = {Intention-Based Segmentation: Human Reliability And Correlation With Linguistic Cues},
booktitle = {In Proceedings of the 31st Annual Meeting of the Association for Computational Linguistics},
year = {1993},
pages = {148--155}
}
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Abstract
Certain spans of utterances in a discourse, referred to here as segments, are widely assumed'to form coherent units. Further, the segmental structure of discourse has been claimed to constrain and be constrained by many phenomena. However, there is weak consensus on the nature of segments and the criteria for recognizing or generating them. We present quantitative results of a two part study using a corpus of spontaneous, narrative monologues. The first part evaluates the statistical reliability of human segmentation of our corpus, where speaker intention is the segmentation criterion. We then use the subjects' segmentations to evaluate the corre- lation of discourse segmentation with three linguistic cues (referential noun phrases, cue words, and pauses), using information retrieval metrics.
