Machine Reader of Social Science Papers
By Victor Zitian Chen, Felipe Montano-Campos, Wlodek Zadrozny, and Evan Canfield
This R Shiny App launches pre-trained models in Python tensorflow for machine reading of PDF documents. Users can use simple "drag and drop" to upload an unlimited volume of scientific publications on a web-based interface. Pre-trained high-accuracy machine reading models will automatically detect, extract, and deconstruct hypotheses into a CSV data, separating variables and classifying the direction and the causality of the links.
"Text-to-Knowledge Graph" Reader to convert multiple textual documents into a strategy map concerning multiple stakeholders' benefits (Work in progress)
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GoPeaks has ended its commercial activities since April 2022, but remains a personal website of its founder Dr. Victor Chen. Nothing published on GoPeaks represents his formal affiliation.
Funded through a hybrid model of grants, gifts, and technology commercialization, GoPeaks started as a collection of research and technology development to accelerate and scale knowledge synthesis into real-world decision solutions. It is especially focused on knowledge graph-based prescriptive (causal) analytics. By grounding its solutions to improve multi-stakeholder performance management, its goal is to build a shared world brain serving broad interests of people and society. Please use the content on the GoPeaks website for non-commercial, educational purposes only.
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