activity
20182023
most citedHireNet: a Hierarchical Attention Model for the Automatic Analysis of Asynchronous Video Job Interviews

66 citations · 187 across the 24 of their papers we have counts for

collaborators
Showing 2020Show all

7 papers · 1 filter

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.CL2020

Hierarchical Pre-training for Sequence Labelling in Spoken Dialog

Emile Chapuis, Pierre Colombo, Matteo Manica +2

Sequence labelling tasks like Dialog Act and Emotion/Sentiment identification are a key component of spoken dialog systems. In this work, we propose a new approach to learn generic…

cs.HC2020★ 2 cited

Sequence-to-Sequence Predictive Model: From Prosody To Communicative Gestures

Fajrian Yunus, Chloé Clavel, Catherine Pelachaud

Communicative gestures and speech acoustic are tightly linked. Our objective is to predict the timing of gestures according to the acoustic. That is, we want to predict when a cert…

cs.HC2020★ 44 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-…

stat.ML2020

Heavy-tailed Representations, Text Polarity Classification & Data Augmentation

Hamid Jalalzai, Pierre Colombo, Chloé Clavel +4

The dominant approaches to text representation in natural language rely on learning embeddings on massive corpora which have convenient properties such as compositionality and dist…

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…