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107
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ACL
2006
14 years 11 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
JSS
2007
78views more  JSS 2007»
14 years 9 months ago
Understanding failure response in service discovery systems
Service discovery systems enable distributed components to find each other without prior arrangement, to express capabilities and needs, to aggregate into useful compositions, an...
Christopher Dabrowski, Kevin Mills, Stephen Quirol...
ICASSP
2010
IEEE
14 years 7 months ago
On the use of machine translation for spoken language understanding portability
Across language portability of a spoken language understanding system (SLU) deals with the possibility of reusing with moderate effort in a new language knowledge and data acquire...
Christophe Servan, Nathalie Camelin, Christian Ray...
79
Voted
EMNLP
2009
14 years 7 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...
COLING
2010
14 years 4 months ago
Improving the Quality of Text Understanding by Delaying Ambiguity Resolution
Text Understanding systems often commit to a single best interpretation of a sentence before analyzing subsequent text. This interpretation is chosen by resolving ambiguous altern...
Doo Soon Kim, Ken Barker, Bruce W. Porter