Atomic tasks from a complex task using NLP
I have a problem statement when I need to find all the tasks that the server had to do based on a complex task. Example, in a 3D modeling scenario, if the model is queried with a complex task such as rotate then the response should be something like:
- Select the object
- Rotate the object
Can we make this model learn on data that is manually prepared and then tune the model such that it can predict more complex tasks?
Topic sequence-to-sequence text-mining nlp
Category Data Science