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» Re-Ranking Models for Spoken Language Understanding
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EACL
2009
ACL Anthology
14 years 4 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...
EMNLP
2009
13 years 1 months ago
Re-Ranking Models Based-on Small Training Data for Spoken Language Understanding
The design of practical language applications by means of statistical approaches requires annotated data, which is one of the most critical constraint. This is particularly true f...
Marco Dinarelli, Alessandro Moschitti, Giuseppe Ri...
INTERSPEECH
2010
12 years 10 months ago
Strategies for statistical spoken language understanding with small amount of data - an empirical study
The semantic frame based spoken language understanding involves two decisions
Ye-Yi Wang
ACL
2006
13 years 5 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
ACL
2006
13 years 5 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