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Structures for Spoken Language Understanding: A Two-Step Approach

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2 Author(s)
Minwoo Jeong ; Department of Computer Science and Engineering, Pohang University of Science & Technology (POSTECH), San 31, Hyoja-Dong, Pohang, 790-784, Korea. stardust@postech.ac.kr ; Gary Geunbae Lee

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 valuable even for noisy input. We apply a structured prediction method to SLU problem with comparison to 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.

Published in:

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07  (Volume:4 )

Date of Conference:

15-20 April 2007