Statistical natural language understanding using hidden clumpings
US5987404A · kind A · utility
407Cited by
8References
12Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Jan 29, 1996 |
| Grant date | Nov 16, 1999 |
| Priority date | — |
| Expiry date | Jan 29, 2016 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/58
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The invention proposes using statistical methods to do natural language understanding. The key notion is that there are "strings" of words in the natural language, that correspond to a single semantic concept. One can then define an alignment between an entire semantic meaning (consisting of a set of semantic concepts), and the English. This is modeled using P(E,A.vertline.S). One can model p(S) separately. This allows each parameter to be modeled using many different statistical models.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.