Learning of dialogue states and language model of spoken information system
US6839671B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 19, 2000 |
| Grant date | Jan 4, 2005 |
| Priority date | — |
| Expiry date | Feb 3, 2021 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/183
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In this invention dialogue states for a dialogue model are created using a training corpus of example human—human dialogues. Dialogue states are modelled at the turn level rather than at the move level, and the dialogue states are derived from the training corpus. The range of operator dialogue utterances is actually quite small in many services and therefore may be categorized into a set of predetermined meanings. This is an important assumption which is not true of general conversation, but is often true of conversations between telephone operators and people. Phrases are specified which have specific substitution and deletion penalties, for example the two phrases “I would like to” and “can I” may be specified as a possible substitution with low or zero penalty. Thus allows common equivalent phrases are given low substitution penalties. Insignificant phrases such as ‘erm’ are given low or zero deletion penalties.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.