E06-1046 been of great interest in the spoken language understanding literature . The issue of noisy
D11-1102 been successfully applied also to Spoken Language Understanding ( SLU ) ( Dinarelli et al. ,
E09-1024 Moschitti Giuseppe Riccardi Abstract Spoken Language Understanding aims at mapping a natural language
D09-1112 with syntactic parse trees . In Spoken Language Understanding the data available are text sentences
D11-1102 integrated in a reranking framework for Spoken Language Understanding . The reranking model is based
C00-1081 This attempt is clearly aiming at spoken language understanding . If we consider how to con >
C00-1073 Introduction Recent advances in spoken language understanding have made it 1 ) ossible to develop
A00-2037 Application Developer in the Center for Spoken Language Understanding Toolkit ( Sutton , et al , 1998
D14-1003 parsing ( Henderson , 2004 ) and spoken language understanding ( Mesnil et al. , 2013 ) . Bidirectional
E03-1078 1 Introduction As the field of spoken language understanding becomes more mature , a clearer
D11-1102 Criteria in a Reranking Framework for Spoken Language Understanding </title> Marco Abstract Reranking
D14-1223 ' . 4.4 SLU Features The SLU ( Spoken Language Understanding ) features are used to resolve
D14-1218 ( Mikolov et al. , 2010 ) and spoken language understanding ( Mesnil et al. , 2013 ) . The
D15-1106 - u and Sarikaya , 2014 ) for spoken language understanding ( SLU ) . To alleviate more contextual
A97-1054 understanding and information extraction , spoken language understanding , the evaluation of parsers ,
D10-1057 gains for speech recog - nition , spoken language understanding , and machine translation ( Gandrabur
E09-1024 <title> Re-Ranking Models For Spoken Language Understanding </title> Marco Dinarelli Alessandro
D11-1102 Spoken Language Understanding Spoken Language Understanding is the task of representing and
D11-1102 7 we draw some conclusions . 2 Spoken Language Understanding Spoken Language Understanding
C00-1073 speech recognition ( ASI / . ) , spoken language understanding , text-to-speech ( TTS ) , database
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