Unsupervised learning of deep patterns for semantic parsing
US9292490B2 · kind B2 · utility
48Cited by
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9Claims
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Key dates
| Filing date | Aug 16, 2013 |
| Grant date | Mar 22, 2016 |
| Priority date | — |
| Expiry date | Jun 21, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/289
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Using exemplary sentences, usage patterns and thematic roles ascribed in VerbNet to generate “deep pattern trees” for the exemplary sentences. Then, when an arbitrary natural language subject sentence is input, these deep pattern trees can be matched to the natural language subject sentence in order to assign thematic roles to at least some of the “grammatical portions” of the natural language subject sentence.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.