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Title:A Shallow Model of Backchannel Continuers in Spoken Dialogue
Authors: N Cathcart ; Jean Carletta ; Ewan Klein
Date: 2003
Publication Title:Proceedings of EACL 2003 (Conference of the European Chapter of the Association for Computational Linguistics)
Publication Type:Conference Paper Publication Status:Published
Page Nos:51-58
Abstract:
Spoken dialogue systems would be more acceptable if they were able to produce backchannel continuers such as mm-hmm in naturalistic locations during the user's utterances. Using the HCRC Map Task Corpus as our data source, we describe models for predicting these locations using only limited processing and features of the user's speech that are commonly available, and which therefore could be used as a low-cost improvement for current systems. The baseline model inserts continuers after a predetermined number of words. One further model correlates back-channel continuers with pause duration, while a second predicts their occurrence using trigram POS frequencies. Combining these two models gives the best results.
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Bibtex format
@InProceedings{EDI-INF-RR-0707,
author = { N Cathcart and Jean Carletta and Ewan Klein },
title = {A Shallow Model of Backchannel Continuers in Spoken Dialogue},
book title = {Proceedings of EACL 2003 (Conference of the European Chapter of the Association for Computational Linguistics)},
year = 2003,
pages = {51-58},
url = {http://portal.acm.org/affiliated/ft_gateway.cfm?id=1067816&type=pdf&coll=portal&dl=ACM&CFID=63251052&CFTOKEN=24928226},
}


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