Numerical representation in natural language processing techniques
US10915711B2 · kind B2 · utility
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17Claims
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Key dates
| Filing date | Dec 9, 2018 |
| Grant date | Feb 9, 2021 |
| Priority date | — |
| Expiry date | Mar 3, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/09
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In some examples, a system for executing natural language processing techniques can include a processor to detect text comprising a word and a number. The processor can also embed, via a word embedding model, the word into a first vector of a vector space and embed the number by converting the number into a second vector of the vector space. Additionally, the processor can train a deep neural network to execute instructions based on the first embedded vector of the word and the second embedded vector of the number. Furthermore, the processor can process an instruction based on the trained deep neural network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.