Machine learning for automatic extraction and workflow assignment of action items
US11625660B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 26, 2020 |
| Grant date | Apr 11, 2023 |
| Priority date | — |
| Expiry date | Oct 8, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/41
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, methods, and other embodiments associated with automatic smart extraction and workflow assignment of action items are described. In one embodiment, a method includes extracting a set of candidate action items from text of a construction project manual; applying static rules to the candidate action items to distinguish valid and invalid candidate action items; evaluating each valid candidate action item with a first machine learning model to label the valid candidate action item either (i) a true action item or (ii) not a true action item; evaluating each true action item with a second machine learning model to allocate each of the true action items to a construction workflow class; and transmitting the set of true action items to a submittal exchange system to populate one or more workflows.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.