reasoning-machines/CoCoGen
Language Models of Code are Few-Shot Commonsense Learners (EMNLP 2022)
This project helps convert natural language descriptions of real-world activities or processes into structured graphs that show the steps and their relationships. You provide a description of a task, like 'preparing a meal,' and it generates a graph representing the sequence and connections between actions. This tool is for researchers or professionals working with knowledge representation, process modeling, or natural language understanding who need to analyze or visualize the logical flow of commonsense activities.
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Use this if you need to automatically generate structured graphical representations (like flowcharts or sequence diagrams) from plain text descriptions of everyday tasks or scenarios.
Not ideal if you're looking for a user-friendly, no-code tool for general diagramming, as this requires some technical familiarity to set up and run.
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Python
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Last pushed
Mar 20, 2023
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curl "https://pt-edge.onrender.com/api/v1/quality/transformers/reasoning-machines/CoCoGen"
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