activity
20172019
most citedMultimodal Attribute Extraction

18 citations · 18 across the 2 of their papers we have counts for

collaborators

9 papers

cs.CL2019

Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack

Emily Dinan, Samuel Humeau, Bharath Chintagunta +1

The detection of offensive language in the context of a dialogue has become an increasingly important application of natural language processing. The detection of trolls in public…

cs.LO2019

Codensity Games for Bisimilarity

Yuichi Komorida, Shin-ya Katsumata, Nick Hu +2

Bisimilarity as an equivalence notion of systems has been central to process theory. Due to the recent rise of interest in quantitative systems (probabilistic, weighted, hybrid, et…

cs.CL2019

Poly-encoders: Transformer Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring

Samuel Humeau, Kurt Shuster, Marie-Anne Lachaux +1

The use of deep pre-trained bidirectional transformers has led to remarkable progress in a number of applications (Devlin et al., 2018). For tasks that make pairwise comparisons be…

cs.CL2019

Learning to Speak and Act in a Fantasy Text Adventure Game

Jack Urbanek, Angela Fan, Siddharth Karamcheti +7

We introduce a large scale crowdsourced text adventure game as a research platform for studying grounded dialogue. In it, agents can perceive, emote, and act whilst conducting dial…

cs.CL2019

Reference-less Quality Estimation of Text Simplification Systems

Louis Martin, Samuel Humeau, Pierre-Emmanuel Mazaré +3

The evaluation of text simplification (TS) systems remains an open challenge. As the task has common points with machine translation (MT), TS is often evaluated using MT metrics su…

cs.CL2018

Image Chat: Engaging Grounded Conversations

Kurt Shuster, Samuel Humeau, Antoine Bordes +1

To achieve the long-term goal of machines being able to engage humans in conversation, our models should captivate the interest of their speaking partners. Communication grounded i…