Methods for generating natural language processing systems
US10127214B2 · kind B2 · utility
Assignee
Inventors
- Robert J. Munro
- Schuyler D. Erle
- Christopher Walker
- Sarah K. Luger
- Jason Brenier
- Gary C. King
- Paul A. Tepper
- Ross Mechanic
- Andrew Gilchrist-Scott
- Jessica D. Long
- James B. Robinson
- Brendan D. Callahan
- Michelle Casbon
- Ujjwal Sarin
- Aneesh Nair
- Veena Basavaraj
- Tripti Saxena
- Edgar Nunez
- Martha G. Hinrichs
- Haley Most
- Tyler J. Schnoebelen
Key dates
| Filing date | Dec 9, 2015 |
| Grant date | Nov 13, 2018 |
| Priority date | — |
| Expiry date | Dec 9, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods are presented for generating a natural language model. The method may comprise: ingesting training data representative of documents to be analyzed by the natural language model, generating a hierarchical data structure comprising at least two topical nodes within which the training data is to be subdivided into by the natural language model, selecting a plurality of documents among the training data to be annotated, generating an annotation prompt for each document configured to elicit an annotation about said document indicating which node among the at least two topical nodes said document is to be classified into, receiving the annotation based on the annotation prompt; and generating the natural language model using an adaptive machine learning process configured to determine patterns among the annotations for how the documents in the training data are to be subdivided according to the at least two topical nodes of the hierarchical data structure.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.