Abstract
We address the issue of out-of-grammar (OOG) utterances in spoken dialogue systems by generating help messages. Help message generation for OOG utterances is a challenge because language understanding based on automatic speech recognition (ASR) of OOG utterances is usually erroneous; important words are often misrecognized or missing from such utterances. Our grammar verification method uses a weighted finite-state transducer, to accurately identify the grammar rule that the user intended to use for the utterance, even if important words are missing from the ASR results. We then use a ranking algorithm, RankBoost, to rank help message candidates in order of likely usefulness. Its features include the grammar verification results and the utterance history representing the user's experience.
| Original language | English |
|---|---|
| Pages (from-to) | 3359-3367 |
| Number of pages | 9 |
| Journal | IEICE Transactions on Information and Systems |
| Volume | E93-D |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - 2010 Dec |
| Externally published | Yes |
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Keywords
- Help generation
- Novice user
- Out-of-grammar utterances
- Spoken dialogue system
- Utterance history
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Software
- Artificial Intelligence
- Hardware and Architecture
- Computer Vision and Pattern Recognition
Cite this
Selecting help messages by using robust grammar verification for handling out-of-grammar utterances in spoken dialogue systems. / Komatani, Kazunori; Fukubayashi, Yuichiro; Ikeda, Satoshi; Ogata, Tetsuya; Okuno, Hiroshi G.
In: IEICE Transactions on Information and Systems, Vol. E93-D, No. 12, 12.2010, p. 3359-3367.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Selecting help messages by using robust grammar verification for handling out-of-grammar utterances in spoken dialogue systems
AU - Komatani, Kazunori
AU - Fukubayashi, Yuichiro
AU - Ikeda, Satoshi
AU - Ogata, Tetsuya
AU - Okuno, Hiroshi G.
PY - 2010/12
Y1 - 2010/12
N2 - We address the issue of out-of-grammar (OOG) utterances in spoken dialogue systems by generating help messages. Help message generation for OOG utterances is a challenge because language understanding based on automatic speech recognition (ASR) of OOG utterances is usually erroneous; important words are often misrecognized or missing from such utterances. Our grammar verification method uses a weighted finite-state transducer, to accurately identify the grammar rule that the user intended to use for the utterance, even if important words are missing from the ASR results. We then use a ranking algorithm, RankBoost, to rank help message candidates in order of likely usefulness. Its features include the grammar verification results and the utterance history representing the user's experience.
AB - We address the issue of out-of-grammar (OOG) utterances in spoken dialogue systems by generating help messages. Help message generation for OOG utterances is a challenge because language understanding based on automatic speech recognition (ASR) of OOG utterances is usually erroneous; important words are often misrecognized or missing from such utterances. Our grammar verification method uses a weighted finite-state transducer, to accurately identify the grammar rule that the user intended to use for the utterance, even if important words are missing from the ASR results. We then use a ranking algorithm, RankBoost, to rank help message candidates in order of likely usefulness. Its features include the grammar verification results and the utterance history representing the user's experience.
KW - Help generation
KW - Novice user
KW - Out-of-grammar utterances
KW - Spoken dialogue system
KW - Utterance history
UR - http://www.scopus.com/inward/record.url?scp=78650028533&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650028533&partnerID=8YFLogxK
U2 - 10.1587/transinf.E93.D.3359
DO - 10.1587/transinf.E93.D.3359
M3 - Article
VL - E93-D
SP - 3359
EP - 3367
JO - IEICE Transactions on Information and Systems
JF - IEICE Transactions on Information and Systems
SN - 0916-8532
IS - 12
ER -