Multi-scale model for semantic matching
US11295090B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 27, 2020 |
| Grant date | Apr 5, 2022 |
| Priority date | — |
| Expiry date | Jun 4, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for applying a trained machine learning model to answer a user query comprises receiving a query text from a user. A previously-trained discriminator is received, the previously-trained discriminator configured to output, for a pair of sentences, a match value indicating a quality of semantic match between the pair of sentences. For each candidate answer text of a plurality of candidate answer texts, the previously-trained discriminator is operated to output a candidate match value for the query text and the candidate answer text based on comparing a first hierarchy of representations of the query text at increasing degrees of semantic compression to a second hierarchy of representations of the candidate answer text at increasing degrees of semantic compression. An answer text is output that is associated with a highest candidate match value among candidate match values.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.