Training a natural language processing model with information retrieval model annotations
US9536522B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 30, 2013 |
| Grant date | Jan 3, 2017 |
| Priority date | — |
| Expiry date | Jan 1, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/1822
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and techniques are provided for training a natural language processing model with information retrieval model annotations. A natural language processing model may be trained, through machine learning, using training examples that include part-of-speech tagging and annotations added by an information retrieval model. The natural language processing model may generate part-of-speech, parse-tree, beginning, inside, and outside label, mention chunking, and named-entity recognition predictions with confidence scores for text in the training examples. The information retrieval model annotations and part-of-speech tagging in the training example may be used to determine the accuracy of the predictions, and the natural language processing model may be adjusted. After training, the natural language processing model may be used to make predictions for novel input, such as search queries and potential search results. The search queries and potential search results may have information retrieval model annotations.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.