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ACL
2006
13 years 8 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
ICASSP
2008
IEEE
14 years 1 months ago
Accurate statistical spoken language understanding from limited development resources
Robust Spoken Language Understanding (SLU) is a key component of spoken dialogue systems. Recent statistical approaches to this problem require additional resources (e.g. gazettee...
I. V. Meza-Ruiz, Sebastian Riedel, Oliver Lemon
ICASSP
2011
IEEE
12 years 11 months ago
Exploiting query click logs for utterance domain detection in spoken language understanding
In this paper, we describe methods to exploit search queries mined from search engine query logs to improve domain detection in spoken language understanding. We propose extending...
Dilek Hakkani-Tür, Larry Heck, Gökhan T&...
CICLING
2003
Springer
14 years 18 days ago
A Maximum Entropy Approach for Spoken Chinese Understanding
: In this paper, we present a spoken language understanding method based on the maximum entropy model. We first extract certain features from the corpus, and then train the maximum...
Guodong Xie, Chengqing Zong, Bo Xu
EACL
2009
ACL Anthology
14 years 8 months ago
Re-Ranking Models for Spoken Language Understanding
Spoken Language Understanding aims at mapping a natural language spoken sentence into a semantic representation. In the last decade two main approaches have been pursued: generati...
Marco Dinarelli, Alessandro Moschitti, Giuseppe Ri...