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Emile Chapuis

2 accepted papers

2021

Code-switched inspired losses for spoken dialog representations

EMNLP 2021main

Spoken dialogue systems need to be able to handle both multiple languages and multilinguality inside a conversation (e.g in case of code-switching). In this work, we introduce new pretraining losses tailored to learn generic multilingual spoken dialogue representations. The goal of these losses is t…

2021

Improving Multimodal fusion via Mutual Dependency Maximisation

EMNLP 2021main

Multimodal sentiment analysis is a trending area of research, and multimodal fusion is one of its most active topic. Acknowledging humans communicate through a variety of channels (i.e visual, acoustic, linguistic), multimodal systems aim at integrating different unimodal representations into a synt…

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