107 citations · 272 across the 25 of their papers we have counts for
3 papers · 1 filter
Neurosymbolic AI for Situated Language Understanding
Nikhil Krishnaswamy, James Pustejovsky
In recent years, data-intensive AI, particularly the domain of natural language processing and understanding, has seen significant progress driven by the advent of large datasets a…
Situational Grounding within Multimodal Simulations
James Pustejovsky, Nikhil Krishnaswamy
In this paper, we argue that simulation platforms enable a novel type of embodied spatial reasoning, one facilitated by a formal model of object and event semantics that renders th…
Combining Deep Learning and Qualitative Spatial Reasoning to Learn Complex Structures from Sparse Examples with Noise
Nikhil Krishnaswamy, Scott Friedman, James Pustejovsky
Many modern machine learning approaches require vast amounts of training data to learn new concepts; conversely, human learning often requires few examples--sometimes only one--fro…