US 12,417,569 B2
Computer implemented method and system for integrative causal modeling and transfer
Wlodek Zadrozny, Charlotte, NC (US); Wenwen Dou, Charlotte, NC (US); Victor Zitian Chen, Charlotte, NC (US); and Seethalakshmi Gopalakrishnan, Charlotte, NC (US)
Assigned to The University Of North Carolina At Charlotte, Charlotte, NC (US)
Filed by The University Of North Carolina At Charlotte, Charlotte, NC (US)
Filed on Dec. 1, 2023, as Appl. No. 18/525,940.
Claims priority of provisional application 63/429,586, filed on Dec. 2, 2022.
Prior Publication US 2024/0185491 A1, Jun. 6, 2024
Int. Cl. G06T 11/20 (2006.01); G06N 3/08 (2023.01)
CPC G06T 11/206 (2013.01) [G06N 3/08 (2013.01); G06T 2200/24 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A hypergraph user interface for interaction with a system for integrative causal modeling from natural language text, the hypergraph user interface comprising:
a natural language text input element configured to receive at least one of a designation of a natural language text file or a natural language text file and, in response to the received at least one designation or natural language text file, cause the at least one designation or natural language text file to be communicated to at least one natural language processing module of the system; and
a causal hypergraph visualization element representative of directed hypergraph data generated from the at least one natural language processing module of the system,
wherein, in response to selection of a hypergraph element of the causal hypergraph representation, the hypergraph user interface is configured to communicate an indication of the hypergraph element to a querying module of the system and generate, in association with the causal hypergraph visualization, an informative element indicative of at least one of a causal link, a causal statement, or a sentence of the at least one natural text file on which the hypergraph element is based.