کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
565385 875754 2009 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Multi-domain spoken language understanding with transfer learning
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Multi-domain spoken language understanding with transfer learning
چکیده انگلیسی

This paper addresses the problem of multi-domain spoken language understanding (SLU) where domain detection and domain-dependent semantic tagging problems are combined. We present a transfer learning approach to the multi-domain SLU problem in which multiple domain-specific data sources can be incorporated. To implement multi-domain SLU with transfer learning, we introduce a triangular-chain structured model. This model effectively learns multiple domains in parallel, and allows use of domain-independent patterns among domains to create a better model for the target domain. We demonstrate that the proposed method outperforms baseline models on dialog data for multi-domain SLU problems.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Speech Communication - Volume 51, Issue 5, May 2009, Pages 412–424
نویسندگان
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