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Conference papers

Joint syntactic and semantic analysis with a multitask Deep Learning Framework for Spoken Language Understanding

Jeremie Tafforeau 1 Frédéric Béchet 2 Thierry Artières 1, 3 Benoit Favre 1, 4
1 LIF - Laboratoire d'informatique Fondamentale de Marseille
2 LIF - Laboratoire d'informatique Fondamentale de Marseille - UMR 6166
3 QARMA - éQuipe AppRentissage et MultimediA [Marseille]
LIF - Laboratoire d'informatique Fondamentale de Marseille
4 TALEP - Traitement Automatique du Langage Ecrit et Parlé
LIS - Laboratoire d'Informatique et Systèmes
Abstract : no abstract
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Conference papers
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https://hal-amu.archives-ouvertes.fr/hal-01454929
Contributor : Benoit Favre Connect in order to contact the contributor
Submitted on : Friday, February 3, 2017 - 10:27:44 AM
Last modification on : Saturday, February 12, 2022 - 3:18:33 AM

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  • HAL Id : hal-01454929, version 1

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CNRS | EC-MARSEILLE | LIF | LIS-LAB | UNIV-AMU | INCIAM | UNIV-TLN

Citation

Jeremie Tafforeau, Frédéric Béchet, Thierry Artières, Benoit Favre. Joint syntactic and semantic analysis with a multitask Deep Learning Framework for Spoken Language Understanding. Interspeech, ISCA, 2016, San Francisco, United States. ⟨hal-01454929⟩

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