  This paper describes the UMONS solution for the OMG-Emotion Challenge. We
explore a context-dependent architecture where the arousal and valence of an
utterance are predicted according to its surrounding context (i.e. the
preceding and following utterances of the video). We report an improvement when
taking into account context for both unimodal and multimodal predictions.
