On the Use of Structures for Spoken Language Understanding: A Two-Step Approach
Summary :
Spoken language understanding (SLU) aims to map a user's speech into a semantic frame. Since most of the previous works use the semantic structures for SLU, we verify that the structure is useful even for noisy input. We apply a structured prediction method to SLU problem and compare it to an unstructured one. In addition, we present a combined method to embed long-distance dependency between entities in a cascaded manner. On air travel data, we show that our approach improves performance over baseline models.
- Publication
- IEICE TRANSACTIONS on Information Vol.E91-D No.5 pp.1552-1561
- Publication Date
- 2008/05/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1093/ietisy/e91-d.5.1552
- Type of Manuscript
- PAPER
- Category
- Natural Language Processing
Authors
Keyword
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Minwoo JEONG, Gary Geunbae LEE, "On the Use of Structures for Spoken Language Understanding: A Two-Step Approach" in IEICE TRANSACTIONS on Information,
vol. E91-D, no. 5, pp. 1552-1561, May 2008, doi: 10.1093/ietisy/e91-d.5.1552.
Abstract: Spoken language understanding (SLU) aims to map a user's speech into a semantic frame. Since most of the previous works use the semantic structures for SLU, we verify that the structure is useful even for noisy input. We apply a structured prediction method to SLU problem and compare it to an unstructured one. In addition, we present a combined method to embed long-distance dependency between entities in a cascaded manner. On air travel data, we show that our approach improves performance over baseline models.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e91-d.5.1552/_p
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@ARTICLE{e91-d_5_1552,
author={Minwoo JEONG, Gary Geunbae LEE, },
journal={IEICE TRANSACTIONS on Information},
title={On the Use of Structures for Spoken Language Understanding: A Two-Step Approach},
year={2008},
volume={E91-D},
number={5},
pages={1552-1561},
abstract={Spoken language understanding (SLU) aims to map a user's speech into a semantic frame. Since most of the previous works use the semantic structures for SLU, we verify that the structure is useful even for noisy input. We apply a structured prediction method to SLU problem and compare it to an unstructured one. In addition, we present a combined method to embed long-distance dependency between entities in a cascaded manner. On air travel data, we show that our approach improves performance over baseline models.},
keywords={},
doi={10.1093/ietisy/e91-d.5.1552},
ISSN={1745-1361},
month={May},}
Copy
TY - JOUR
TI - On the Use of Structures for Spoken Language Understanding: A Two-Step Approach
T2 - IEICE TRANSACTIONS on Information
SP - 1552
EP - 1561
AU - Minwoo JEONG
AU - Gary Geunbae LEE
PY - 2008
DO - 10.1093/ietisy/e91-d.5.1552
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E91-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2008
AB - Spoken language understanding (SLU) aims to map a user's speech into a semantic frame. Since most of the previous works use the semantic structures for SLU, we verify that the structure is useful even for noisy input. We apply a structured prediction method to SLU problem and compare it to an unstructured one. In addition, we present a combined method to embed long-distance dependency between entities in a cascaded manner. On air travel data, we show that our approach improves performance over baseline models.
ER -
English
