| Paper ID | HLT-P3.2 | ||
| Paper Title | WHAT IS BEST FOR SPOKEN LANGUAGE UNDERSTANDING: SMALL BUT TASK-DEPENDANT EMBEDDINGS OR HUGE BUT OUT-OF-DOMAIN EMBEDDINGS? | ||
| Authors | Sahar Ghannay, Université Paris-Saclay, CNRS, LIMSI, 91400, France; Antoine Neuraz, Hôpital Necker-Enfants Malades, APHP INSERM UMRS 1138, Team 22, Paris Descartes, Université Sorbonne Paris Cité LIMSI, CNRS, Université Paris-Saclay, France; Sophie Rosset, Université Paris-Saclay, CNRS, LIMSI, 91400, France | ||
| Session | HLT-P3: Language Understanding and Modeling | ||
| Location | On-Demand | ||
| Session Time: | Thursday, 07 May, 11:30 - 13:30 | ||
| Presentation Time: | Thursday, 07 May, 11:30 - 13:30 | ||
| Presentation | Poster | ||
| Topic | Human Language Technology: [HLT-UNDE] Spoken Language Understanding and Computational Semantics | ||
| IEEE Xplore Open Preview | Click here to view in IEEE Xplore | ||
| Virtual Presentation | Click here to watch in the Virtual Conference | ||