Extended open information extraction by identifying nested relationships
US12135938B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 11, 2022 |
| Grant date | Nov 5, 2024 |
| Priority date | — |
| Expiry date | Jan 4, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/211
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems, methods, apparatuses, and computer program products for natural language processing are provided. One method may include utilizing a trained machine learning model to learn syntax dependency patterns and parts of speech tag patterns of text based on labeled training data. The method may also include contextualizing vector embeddings from a language model for each word in the text, and extracting relationships for a given fragment of the text based on the contextualization. The method may further include resolving relationships between identified verbs based on a plurality of heuristics to identify the syntax dependency patterns, identifying nested relationships, and capturing metadata associated with the nested relationships. The method also includes performing, by utilizing the extracted relationships, at least one of open-domain question answering and natural language question answering, answering questions posed by a user, summarizing documents, or measuring information overlap and information disagreement.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.