7 citations · 13 across the 4 of their papers we have counts for
3 papers · 1 filter
Introducing the Hidden Neural Markov Chain framework
Elie Azeraf, Emmanuel Monfrini, Emmanuel Vignon +1
Nowadays, neural network models achieve state-of-the-art results in many areas as computer vision or speech processing. For sequential data, especially for Natural Language Process…
Guider l'attention dans les modeles de sequence a sequence pour la prediction des actes de dialogue
Pierre Colombo, Emile Chapuis, Matteo Manica +3
The task of predicting dialog acts (DA) based on conversational dialog is a key component in the development of conversational agents. Accurately predicting DAs requires a precise…
Guiding attention in Sequence-to-sequence models for Dialogue Act prediction
Pierre Colombo, Emile Chapuis, Matteo Manica +3
The task of predicting dialog acts (DA) based on conversational dialog is a key component in the development of conversational agents. Accurately predicting DAs requires a precise…