Learning Dialog Act Processing (1996)
| Venue: | In Proceedings of the International Conference on Computational Linguistics |
| Citations: | 17 - 7 self |
BibTeX
@INPROCEEDINGS{Wermter96learningdialog,
author = {Stefan Wermter and Stefan Wermter and Matthias Löchel and Matthias Lochel and Arbeitsbereich Naturlichsprachliche Systeme and Fachbereich Informatik and Gehort Antragsabschnitt and Hybride Architekturen},
title = {Learning Dialog Act Processing},
booktitle = {In Proceedings of the International Conference on Computational Linguistics},
year = {1996},
pages = {740--745}
}
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Abstract
In this paper 1 we describe a new approach for learning dialog act processing. In this approach we integrate a symbolic semantic segmentation parser with a learning dialog act network. In order to support the unforeseeable errors and variations of spoken language we have concentrated on robust data-driven learning. This approach already compares favorably with the statistical average plausibility method, produces a segmentation and dialog act assignment for all utterances in a robust manner, and reduces knowledge engineering since it can be bootstrapped from rather small corpora. Therefore, we consider this new approach as very promising for learning dialog act processing. 1 This article has been submitted and accepted to the International Conference on Computational Linguistics 1996, Kopenhagen, Denmark. 1 Introduction For several decades, the pragmatic interpretation at a dialog act level belongs to the most difficult and challenging tasks for natural language processing and co...
