Gopalakrishnan S, Chen VZ, Dou W, Hahn-Powell G, Nedunuri S, and Zadrozny WW. 2023. Text to causal knowledge graph: A framework to synthesize knowledge from unstructured business texts into causal graphs. Information, 14(7), 367-382.
See also, US Patent Pending No. US20240185491A1 "Computer implemented method and system for integrative causal modeling and transfer"
Chen, V. Z., Montano-Campos, F., Zadrozny, W., & Canfield, E. (2021). Machine Reading of Hypotheses for Organizational Research Reviews and Pre-trained Models via R Shiny App for Non-Programmers. Preprint arxiv.org/abs/2106.16102.
For programmers: Github Repo
For non-programmers: Launch pre-trained models via a free R shiny app
Gopalakrishnan S., Chen, V.Z., Hahn-Powell, G., Tirunagar, B. (2021). Computer-assisted construct classification of organizational performance concerning different stakeholder groups. Preprint arxiv.org/abs/2107.05133
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About GoPeaks
Since ending its commercial activities in April 2022, GoPeaks has transitioned to a personal website curated by its founder, Dr. Victor Chen. The content on GoPeaks does not reflect his formal affiliations. Originally funded through grants, gifts, and technology commercialization, GoPeaks focused on research and technology development to accelerate and scale knowledge synthesis into real-world decision solutions, particularly in knowledge graph-based prescriptive (causal) analytics. By improving multi-stakeholder performance management, GoPeaks aimed to build a shared world brain that serves the broad interests of people and society. Please use the content on the GoPeaks website for non-commercial, educational purposes only.
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