107 citations · 272 across the 25 of their papers we have counts for
27 papers
An Abstract Specification of VoxML as an Annotation Language
Kiyong Lee, Nikhil Krishnaswamy, James Pustejovsky
VoxML is a modeling language used to map natural language expressions into real-time visualizations using commonsense semantic knowledge of objects and events. Its utility has been…
Causal schema induction for knowledge discovery
Michael Regan, Jena D. Hwang, Keisuke Sakaguchi +1
Making sense of familiar yet new situations typically involves making generalizations about causal schemas, stories that help humans reason about event sequences. Reasoning about e…
Dense Paraphrasing for Textual Enrichment
Jingxuan Tu, Kyeongmin Rim, Eben Holderness +1
Understanding inferences and answering questions from text requires more than merely recovering surface arguments, adjuncts, or strings associated with the query terms. As humans,…
Representing Inferences and their Lexicalization
David McDonald, James Pustejovsky
We have recently begun a project to develop a more effective and efficient way to marshal inferences from background knowledge to facilitate deep natural language understanding. Th…
Designing Multimodal Datasets for NLP Challenges
James Pustejovsky, Eben Holderness, Jingxuan Tu +4
In this paper, we argue that the design and development of multimodal datasets for natural language processing (NLP) challenges should be enhanced in two significant respects: to m…
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…