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IRISA at DeFT2017 : classification systems of increasing complexity ; Participation de l'IRISA à DeFT2017 : systèmes de classification de complexité croissante
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In: DeFT 2017 - Défi Fouille de texte ; https://hal.archives-ouvertes.fr/hal-01643993 ; DeFT 2017 - Défi Fouille de texte, Jun 2017, Orléans, France. pp.1-10 (2017)
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IRISA at DeFT 2015: Supervised and Unsupervised Methods in Sentiment Analysis
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In: DeFT, Défi Fouille de Texte, joint à la conférence TALN 2015 ; https://hal.archives-ouvertes.fr/hal-01226528 ; DeFT, Défi Fouille de Texte, joint à la conférence TALN 2015, Jun 2015, Caen, France (2015)
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Boosting bonsai trees for efficient features combination : application to speaker role identification
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In: Interspeech ; https://hal.inria.fr/hal-01025171 ; Interspeech, Sep 2014, Singapour, Singapore (2014)
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Lexical-phonetic automata for spoken utterance indexing and retrieval
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In: International Conference on Speech Communication and Technologies ; https://hal.archives-ouvertes.fr/hal-00757765 ; International Conference on Speech Communication and Technologies, Sep 2012, Portland, United States (2012)
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Comparing stochastic approaches to spoken language understanding in multiple languages
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In: ISSN: 1558-7916 ; IEEE Transactions on Audio, Speech and Language Processing ; https://hal.inria.fr/hal-00746965 ; IEEE Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2011, 19 (6), pp.1569-1583 (2011)
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On the Use of Machine Translation for Spoken Language Understanding Portability
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In: IEEE International Conference on Acoustics, Speech, and Signal Processing ; https://hal.inria.fr/inria-00523967 ; IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE, Mar 2010, Dallas, Texas, United States. pp.5330 - 5333, ⟨10.1109/ICASSP.2010.5494960⟩ ; http://ieeexplore.ieee.org/iel5/5487364/5494886/05494960.pdf (2010)
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The LUNA Corpus: an Annotation Scheme for a Multi-domain Multi-lingual Dialogue Corpus ...
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Deaf children's understanding of the roles of speakers and listeners in face-to-face interaction
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