2 citations · 4 across the 3 of their papers we have counts for
3 papers
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…
Practical Cross-modal Manifold Alignment for Grounded Language
Andre T. Nguyen, Luke E. Richards, Gaoussou Youssouf Kebe +4
We propose a cross-modality manifold alignment procedure that leverages triplet loss to jointly learn consistent, multi-modal embeddings of language-based concepts of real-world it…
Presentation and Analysis of a Multimodal Dataset for Grounded Language Learning
Patrick Jenkins, Rishabh Sachdeva, Gaoussou Youssouf Kebe +7
Grounded language acquisition -- learning how language-based interactions refer to the world around them -- is amajor area of research in robotics, NLP, and HCI. In practice the da…