Utilizing machine learning models to identify insights in a document
US10303771B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Feb 14, 2018 |
| Grant date | May 28, 2019 |
| Priority date | — |
| Expiry date | Feb 14, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A device receives document information associated with a document, and receives a request to identify insights in the document information. The device performs, based on the request, natural language processing on the document information to identify words, phrases, and sentences in the document information, and utilizes a first machine learning model with the words, the phrases, and the sentences to identify information indicating abstract insights, concrete insights, and non-insights in the document. The device utilizes a second machine learning model to match the abstract insights with particular concrete insights that are different than the concrete insights, and utilizes a third machine learning model to determine particular insights based on the non-insights. The device generates an insight document that includes the concrete insights, the abstract insights matched with the particular concrete insights, and the particular insights determined based on the non-insights.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.