most citedOn-the-fly Detection of User Engagement Decrease in Spontaneous Human-Robot Interaction, International Journal of Social Robotics, 2019

44 citations · 51 across the 3 of their papers we have counts for

collaborators

7 papers

cs.CL2020

The importance of fillers for text representations of speech transcripts

Tanvi Dinkar, Pierre Colombo, Matthieu Labeau +1

While being an essential component of spoken language, fillers (e.g."um" or "uh") often remain overlooked in Spoken Language Understanding (SLU) tasks. We explore the possibility o…

cs.HC202044 cited

On-the-fly Detection of User Engagement Decrease in Spontaneous Human-Robot Interaction, International Journal of Social Robotics, 2019

Atef Ben Youssef, Giovanna Varni, Slim Essid +1

In this paper, we consider the detection of a decrease of engagement by users spontaneously interacting with a socially assistive robot in a public space. We first describe the UE-…

cs.CL2020

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…

cs.CL20207 cited

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…

cs.CV2019

Slices of Attention in Asynchronous Video Job Interviews

Léo Hemamou, Ghazi Felhi, Jean-Claude Martin +1

The impact of non verbal behaviour in a hiring decision remains an open question. Investigating this question is important, as it could provide a better understanding on how to tra…

cs.CL2019

From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining

Alexandre Garcia, Pierre Colombo, Slim Essid +2

The task of predicting fine grained user opinion based on spontaneous spoken language is a key problem arising in the development of Computational Agents as well as in the developm…