Document Type
Article
Abstract
The ability to answer causal questions is important for any system that requires robust scene under- standing. In this demonstration, we develop a prototype system that leverages our causal link prediction framework, CausalLP. CausalLP framework uses a visual causal knowledge graph and associated knowledge graph embedding for two visual causal question and answering tasks- (i) causal explanation and (ii) causal prediction. In the live demonstration sessions, the participants will be invited to test the efficiency and effectiveness of the system for visual causal question and answering.
Publication Info
Preprint version International Semantic Web Conference, Fall 2024.
APA Citation
Jaimini, U., Henson, C., & Sheth, A. (2024). Visual causal question and answering with knowledge graph link prediction. International Semantic Web Conference. [Preprint]
Rights
© 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).