Grounding and distinguishing conceptual vocabulary through similarity learning in embodied simulations

S Ghaffari, N Krishnaswamy - arXiv preprint arXiv:2305.13668, 2023 - arxiv.org
We present a novel method for using agent experiences gathered through an embodied
simulation to ground contextualized word vectors to object representations. We use similarity …

[PDF][PDF] Grounding and Distinguishing Conceptual Vocabulary Through Similarity Learning in Embodied Simulations

S Ghaffari, N Krishnaswamy - nikhilkrishnaswamy.com
We present a novel method for using agent experiences gathered through an embodied
simulation to ground contextualized word vectors to object representations. We use similarity …

Grounding and Distinguishing Conceptual Vocabulary Through Similarity Learning in Embodied Simulations

S Ghaffari, N Krishnaswamy - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
We present a novel method for using agent experiences gathered through an embodied
simulation to ground contextualized word vectors to object representations. We use similarity …

[PDF][PDF] Grounding and Distinguishing Conceptual Vocabulary Through Similarity Learning in Embodied Simulations

S Ghaffari, N Krishnaswamy - iwcs.pimoid.fr
We present a novel method for using agent experiences gathered through an embodied
simulation to ground contextualized word vectors to object representations. We use similarity …

Grounding and Distinguishing Conceptual Vocabulary Through Similarity Learning in Embodied Simulations

S Ghaffari, N Krishnaswamy - Proceedings of the 15th …, 2023 - aclanthology.org
We present a novel method for using agent experiences gathered through an embodied
simulation to ground contextualized word vectors to object representations. We use similarity …

[PDF][PDF] Grounding and Distinguishing Conceptual Vocabulary Through Similarity Learning in Embodied Simulations

S Ghaffari, N Krishnaswamy - IWCS 2023, 2023 - aclanthology.org
We present a novel method for using agent experiences gathered through an embodied
simulation to ground contextualized word vectors to object representations. We use similarity …