Anaphora resolution for medical text with machine learning and relevance feedback
US10366161B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 2, 2017 |
| Grant date | Jul 30, 2019 |
| Priority date | — |
| Expiry date | Nov 15, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The program directs a computer processor to resolve an anaphor in electronic natural language text. The program detects a plurality of entities and an anaphor in a span of parsed natural language text comprising one or more sentences, and extracts pairs of related entities based on domain knowledge. The program constructs a set of tuples, wherein each tuple is a data type comprising an anaphor, an antecedent entity (AE) appearing before the anaphor in the span of parsed natural language text, and an entity (E) appearing after the anaphor in the span of parsed natural language text, wherein the anaphor refers to the AE and relates the AE to the E. The program resolves the anaphor by determining which entity in the plurality of entities the anaphor references, using the constructed set of tuples, and selecting an AE among one or more candidate AEs.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.