Applying a structured language model to information extraction
US7805302B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 20, 2002 |
| Grant date | Sep 28, 2010 |
| Priority date | — |
| Expiry date | May 30, 2026 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/22
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
One feature of the present invention uses the parsing capabilities of a structured language model in the information extraction process. During training, the structured language model is first initialized with syntactically annotated training data. The model is then trained by generating parses on semantically annotated training data enforcing annotated constituent boundaries. The syntactic labels in the parse trees generated by the parser are then replaced with joint syntactic and semantic labels. The model is then trained by generating parses on the semantically annotated training data enforcing the semantic tags or labels found in the training data. The trained model can then be used to extract information from test data using the parses generated by the model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.