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Leuski, Anton; Patel, Ronakkumar; Traum, David; Kennedy, Brandon
Building Effective Question Answering Characters Proceedings Article
In: 7th SIGdial Workshop on Discourse and Dialogue, Sydney, Australia, 2006.
@inproceedings{leuski_building_2006,
title = {Building Effective Question Answering Characters},
author = {Anton Leuski and Ronakkumar Patel and David Traum and Brandon Kennedy},
url = {http://ict.usc.edu/pubs/Building%20Effective%20Question%20Answering%20Characters.pdf},
year = {2006},
date = {2006-07-01},
booktitle = {7th SIGdial Workshop on Discourse and Dialogue},
address = {Sydney, Australia},
abstract = {In this paper, we describe methods for building and evaluation of limited domain question-answering characters. Several classification techniques are tested, including text classification using support vector machines, language-model based retrieval, and cross-language information retrieval techniques, with the latter having the highest success rate. We also evaluated the effect of speech recognition errors on performance with users, finding that retrieval is robust until recognition reaches over 50% WER.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper, we describe methods for building and evaluation of limited domain question-answering characters. Several classification techniques are tested, including text classification using support vector machines, language-model based retrieval, and cross-language information retrieval techniques, with the latter having the highest success rate. We also evaluated the effect of speech recognition errors on performance with users, finding that retrieval is robust until recognition reaches over 50% WER.
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2006
Leuski, Anton; Patel, Ronakkumar; Traum, David; Kennedy, Brandon
Building Effective Question Answering Characters Proceedings Article
In: 7th SIGdial Workshop on Discourse and Dialogue, Sydney, Australia, 2006.
Abstract | Links | BibTeX | Tags: Virtual Humans
@inproceedings{leuski_building_2006,
title = {Building Effective Question Answering Characters},
author = {Anton Leuski and Ronakkumar Patel and David Traum and Brandon Kennedy},
url = {http://ict.usc.edu/pubs/Building%20Effective%20Question%20Answering%20Characters.pdf},
year = {2006},
date = {2006-07-01},
booktitle = {7th SIGdial Workshop on Discourse and Dialogue},
address = {Sydney, Australia},
abstract = {In this paper, we describe methods for building and evaluation of limited domain question-answering characters. Several classification techniques are tested, including text classification using support vector machines, language-model based retrieval, and cross-language information retrieval techniques, with the latter having the highest success rate. We also evaluated the effect of speech recognition errors on performance with users, finding that retrieval is robust until recognition reaches over 50% WER.},
keywords = {Virtual Humans},
pubstate = {published},
tppubtype = {inproceedings}
}
In this paper, we describe methods for building and evaluation of limited domain question-answering characters. Several classification techniques are tested, including text classification using support vector machines, language-model based retrieval, and cross-language information retrieval techniques, with the latter having the highest success rate. We also evaluated the effect of speech recognition errors on performance with users, finding that retrieval is robust until recognition reaches over 50% WER.