Multitask learning as question answering
US11600194B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 12, 2018 |
| Grant date | Mar 7, 2023 |
| Priority date | — |
| Expiry date | Jul 23, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/216
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Approaches for natural language processing include a multi-layer encoder for encoding words from a context and words from a question in parallel, a multi-layer decoder for decoding the encoded context and the encoded question, a pointer generator for generating distributions over the words from the context, the words from the question, and words in a vocabulary based on an output from the decoder, and a switch. The switch generates a weighting of the distributions over the words from the context, the words from the question, and the words in the vocabulary, generates a composite distribution based on the weighting of the distribution over the first words from the context, the distribution over the second words from the question, and the distribution over the words in the vocabulary, and selects words for inclusion in an answer using the composite distribution.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.