On the use of structures for spoken language understanding: A two-step approach

被引：0

作者：

Jeong, Minwoo ^{[1
]}

Lee, Gary Geunbae ^{[1
]}

机构：

[1] Pohang Univ Sci & Technol, Dept Comp Sci & Engn, Pohang 790784, South Korea

来源：

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS | 2008年 / E91D卷 / 05期

关键词：

spoken language understanding; named entity recognition from speech; structured prediction; long-distance dependency; two-step cascaded approach;

D O I：

10.1093/ietisy/e91-d.5.1552

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1552 / 1561

页数：10

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