On the use of structures for spoken language understanding: A two-step approach
SCIE
SCOPUS
- Title
- On the use of structures for spoken language understanding: A two-step approach
- Authors
- Jeong, M; Lee, GG
- Date Issued
- 2008-05
- Publisher
- IEICE-INST ELECTRONICS INFORMATION CO
- 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
- spoken language understanding; named entity recognition from speech; structured prediction; long-distance dependency; two-step cascaded approach
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/22701
- DOI
- 10.1093/ietisy/e91-d.5.1552
- ISSN
- 0916-8532
- Article Type
- Article
- Citation
- IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS (postech rank 2), vol. E91D, no. 5, page. 1552 - 1561, 2008-05
- Files in This Item:
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.