M.Sc. internship 2020 for 6 months Title End-to-End Spoken Language Understanding on real world tasks Mentored by Mohamed Morchid, Associate Professor Location Avignon University, LIA, France Global Context Project: The internship is strongly related to ANR AISSPER for end-to-end spoken language understanding in different levels of the document content. Web sites: ANR ResearchGate Period: February 2020 to July 2020 Salary: 577.50€ p.m Aims and objectives Neural networks based algorithms are nowadays employed in a massive set of real-world related systems and applications. This internship focuses on Natural Language Processing (NLP) tasks such as Spoken Language Understanding (SLU). Among SLU based models, end-to-end (EtE) neural systems are promising in regard to the results observed already with EtE Automatic Speech Recognition (ASR) with neural based systems. A main drawback of hitherto proposed neural based SLU systems, is related to the need of a two-step process to successively extract high dimensional representation of the relevant content from the spoken signal in a homogeneous feature hidden space (ASR block) alongside to interpret these abstract features as understandable discussed subjects, mentions or intents contained in the spoken dialogue (Natural LU block). Therefore, the errors observed during these two steps are hardly located and characterized, and Plus d'infos