activity
20192023
most citedThe BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

65 citations · 176 across the 25 of their papers we have counts for

collaborators
Showing 2020Show all

5 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…

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…

cs.CL2020★ 7 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…