Assignment of semantic labels to a sequence of words using neural network architectures
US10867597B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Sep 2, 2013 |
| Grant date | Dec 15, 2020 |
| Priority date | — |
| Expiry date | Sep 2, 2033 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/26
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Technologies pertaining to slot filling are described herein. A deep neural network, a recurrent neural network, and/or a spatio-temporally deep neural network are configured to assign labels to words in a word sequence set forth in natural language. At least one label is a semantic label that is assigned to at least one word in the word sequence.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.