GENERATING POTENTIAL BARRIERS TO A STRUCTURED PROCESS

20250062036

18/452417

August 18, 2023

One embodiment of the invention provides a method for generating and ranking potential barriers that prevent completion of a structured process. The method comprises receiving a textual description of the structured process, receiving one or more templates relating to the structured process, and identifying a set of user actions required to complete the structured process based on the textual description. The method further comprises expanding the set of user actions based on general knowledge to include one or more additional actions, and updating the one or more templates based on the expanded set of user actions. The method further comprises generating, using at least one generative language model, a set of potential barriers that prevent completion of the structured process based on the one or more updated templates.

1. A method for generating and ranking potential barriers that prevent completion of a structured process, comprising: receiving a textual description of the structured process; receiving one or more templates relating to the structured process; identifying a set of user actions required to complete the structured process based on the textual description; expanding the set of user actions based on general knowledge to include one or more additional actions; updating the one or more templates based on the expanded set of user actions; and generating, using at least one generative language model, a set of potential barriers that prevent completion of the structured process based on the one or more updated templates.

2. The method of claim 1, further comprising: determining, for each potential barrier, a corresponding confidence score using a learned probability distribution of the at least one generative language model; ranking the set of potential barriers based on each confidence score corresponding to each potential barrier; and providing a ranked list based on the ranking as output.

3. The method of claim 2, further comprising: receiving user feedback on the ranked list; and fine-tuning the at least one generative language model based on the user feedback.

4. The method of claim 1, wherein the textual description describes the set of user actions that one or more participants enrolled or participating in the structured process are required to perform to complete the structured process.

5. The method of claim 1, wherein identifying the set of user actions based on the textual description comprises: applying natural language processing (NLP) to the textual description.

6. The method of claim 1, wherein the general knowledge comprises at least one of knowledge graphs and deep learning question answering and information retrieval models.

7. The method of claim 1, wherein the one or more additional user actions are required to complete the set of user actions.

8. The method of claim 1, wherein updating the one or more templates based on the expanded set of user actions comprises: filling in one or more fields of the one or more templates based on the expanded set of user actions.

9. A system for generating and ranking potential barriers that prevent completion of a structured process, comprising: at least one processor; and a processor-readable memory device storing instructions that when executed by the at least one processor causes the at least one processor to perform operations including: receiving a textual description of the structured process; receiving one or more templates relating to the structured process; identifying a set of user actions required to complete the structured process based on the textual description; expanding the set of user actions based on general knowledge to include one or more additional actions; updating the one or more templates based on the expanded set of user actions; and generating, using at least one generative language model, a set of potential barriers that prevent completion of the structured process based on the one or more updated templates.

10. The system method of claim 9, wherein the operations further include: determining, for each potential barrier, a corresponding confidence score using a learned probability distribution of the at least one generative language model; ranking the set of potential barriers based on each confidence score corresponding to each potential barrier; and providing a ranked list based on the ranking as output.

11. The system method of claim 10, wherein the operations further include: receiving user feedback on the ranked list; and fine-tuning the at least one generative language model based on the user feedback.

12. The system method of claim 9, wherein the textual description describes the set of user actions that one or more participants enrolled or participating in the structured process are required to perform to complete the structured process.

13. The system method of claim 9, wherein identifying the set of user actions based on the textual description comprises: applying natural language processing (NLP) to the textual description.

14. The system method of claim 9, wherein the general knowledge comprises at least one of knowledge graphs and deep learning question answering and information retrieval models.

15. The system method of claim 9, wherein the one or more additional user actions are required to complete the set of user actions.

16. The system method of claim 9, wherein updating the one or more templates based on the expanded set of user actions comprises: filling in one or more fields of the one or more templates based on the expanded set of user actions.

17. A computer program product for generating and ranking potential barriers that prevent completion of a structured process, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to: receive a textual description of the structured process; receive one or more templates relating to the structured process; identify a set of user actions required to complete the structured process based on the textual description; expand the set of user actions based on general knowledge to include one or more additional actions; update the one or more templates based on the expanded set of user actions; and generate, using at least one generative language model, a set of potential barriers that prevent completion of the structured process based on the one or more updated templates.

18. The computer program product of claim 17, wherein the program instructions executable by the processor further cause the processor to: determine, for each potential barrier, a corresponding confidence score using a learned probability distribution of the at least one generative language model; rank the set of potential barriers based on each confidence score corresponding to each potential barrier; and provide a ranked list based on the ranking as output.

19. The computer program product of claim 18, wherein the program instructions executable by the processor further cause the processor to: receive user feedback on the ranked list; and fine-tune the at least one generative language model based on the user feedback.

20. The computer program product of claim 17, wherein the textual description describes the set of user actions that one or more participants enrolled or participating in the structured process are required to perform to complete the structured process.

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edspap.20250062036