Iteratively learning coreference embeddings of noun phrases using feature representations that include distributed word representations of the noun phrases
US9514098B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 26, 2013 |
| Grant date | Dec 6, 2016 |
| Priority date | — |
| Expiry date | Apr 18, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/295
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and apparatus related to determining coreference resolution using distributed word representations. Distributed word representations, indicative of syntactic and semantic features, may be identified for one or more noun phrases. For each of the one or more noun phrases, a referring feature representation and an antecedent feature representation may be determined, where the referring feature representation includes the distributed word representation, and the antecedent feature representation includes the distributed word representation augmented by one or more antecedent features. In some implementations the referring feature representation may be augmented by one or more referring features. Coreference embeddings of the referring and antecedent feature representations of the one or more noun phrases may be learned. Distance measures between two noun phrases may be determined based on the coreference embeddings.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.