Identifying tasks and commitments using natural language processing and machine learning
US9170993B2 · kind B2 · utility
17Cited by
2References
15Claims
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Key dates
| Filing date | Jan 29, 2013 |
| Grant date | Oct 27, 2015 |
| Priority date | — |
| Expiry date | Jan 24, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/40
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An example of identifying tasks and commitments can include receiving a communication message. A task and a parameter can be identified in the communication message. Information related to the task can be extracted from the communication message using natural language processing (NLP) and machine learning (ML). A commitment related to the task can be identified using NLP extracted information. A state of the commitment can be identified using NLP and ML based on the extracted information.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.