activity
20202025
most citedCompositional Languages Emerge in a Neural Iterated Learning Model

34 citations · 48 across the 7 of their papers we have counts for

collaborators

10 papers

cs.CL2025

The Anatomy of Speech Persuasion: Linguistic Shifts in LLM-Modified Speeches

Alisa Barkar, Mathieu Chollet, Matthieu Labeau +2

This study examines how large language models understand the concept of persuasiveness in public speaking by modifying speech transcripts from PhD candidates in the "Ma These en 18…

cs.CL2024★ 3 cited

EmoDynamiX: Emotional Support Dialogue Strategy Prediction by Modelling MiXed Emotions and Discourse Dynamics

Chenwei Wan, Matthieu Labeau, Chloé Clavel

Designing emotionally intelligent conversational systems to provide comfort and advice to people experiencing distress is a compelling area of research. Recently, with advancements…

cs.CL2024

The Impact of Word Splitting on the Semantic Content of Contextualized Word Representations

Aina Garí Soler, Matthieu Labeau, Chloé Clavel

When deriving contextualized word representations from language models, a decision needs to be made on how to obtain one for out-of-vocabulary (OOV) words that are segmented into s…

cs.CL2022

A survey of neural models for the automatic analysis of conversation: Towards a better integration of the social sciences

Chloé Clavel, Matthieu Labeau, Justine Cassell

Some exciting new approaches to neural architectures for the analysis of conversation have been introduced over the past couple of years. These include neural architectures for det…

cs.CL2021

Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks

Gaël Guibon, Matthieu Labeau, Hélène Flamein +2

Several recent studies on dyadic human-human interactions have been done on conversations without specific business objectives. However, many companies might benefit from studies d…

cs.LG2021

Improving Multimodal fusion via Mutual Dependency Maximisation

Pierre Colombo, Emile Chapuis, Matthieu Labeau +1

Multimodal sentiment analysis is a trending area of research, and the multimodal fusion is one of its most active topic. Acknowledging humans communicate through a variety of chann…