7 citations · 12 across the 6 of their papers we have counts for
3 papers · 2 filters
Bridging the Gap: Using Deep Acoustic Representations to Learn Grounded Language from Percepts and Raw Speech
Gaoussou Youssouf Kebe, Luke E. Richards, Edward Raff +2
Learning to understand grounded language, which connects natural language to percepts, is a critical research area. Prior work in grounded language acquisition has focused primaril…
Discriminative and Generative Transformer-based Models For Situation Entity Classification
Mehdi Rezaee, Kasra Darvish, Gaoussou Youssouf Kebe +1
We re-examine the situation entity (SE) classification task with varying amounts of available training data. We exploit a Transformer-based variational autoencoder to encode senten…
Neural Variational Learning for Grounded Language Acquisition
Nisha Pillai, Cynthia Matuszek, Francis Ferraro
We propose a learning system in which language is grounded in visual percepts without specific pre-defined categories of terms. We present a unified generative method to acquire a…