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ACL
2006
13 years 7 months ago
Combining Statistical and Knowledge-Based Spoken Language Understanding in Conditional Models
Spoken Language Understanding (SLU) addresses the problem of extracting semantic meaning conveyed in an utterance. The traditional knowledge-based approach to this problem is very...
Ye-Yi Wang, Alex Acero, Milind Mahajan, John Lee
NAACL
2003
13 years 7 months ago
Cooperative model-based language understanding
In this paper, we propose a novel Cooperative Model for natural language understanding in a dialogue system. We build this based on both Finite State Model (FSM) and Statistical L...
Donghui Feng
DAGM
2008
Springer
13 years 8 months ago
Natural Language Understanding by Combining Statistical Methods and Extended Context-Free Grammars
This paper introduces an novel framework for speech understanding using extended context-free grammars (ECFGs) by combining statistical methods and rule based knowledge. By only us...
Stefan Schwärzler, Joachim Schenk, Frank Wall...
ACL
2006
13 years 7 months ago
Exploiting Non-Local Features for Spoken Language Understanding
In this paper, we exploit non-local features as an estimate of long-distance dependencies to improve performance on the statistical spoken language understanding (SLU) problem. Th...
Minwoo Jeong, Gary Geunbae Lee
JMLR
2012
11 years 8 months ago
Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics
We consider the task of estimating, from observed data, a probabilistic model that is parameterized by a finite number of parameters. In particular, we are considering the situat...
Michael Gutmann, Aapo Hyvärinen