Using generic predictive models for slot values in language modeling

US8032375B2 · kind B2 · utility

Assignee

• Microsoft Corporation · US

Inventors

• David M. Chickering · Bellevue, US
• Timothy S. Paek · Mercer Island, US

Key dates

• Filing date: Mar 17, 2006
• Grant date: Oct 4, 2011
• Expiry date: Aug 13, 2029

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q10/10
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

A generic predictive argument model that can be applied to a set of shot values to predict a target slot value is provided. The generic predictive argument model can predict whether or not a particular value or item is the intended target of the user command given various features. A prediction for each of the slot values can then be normalized to infer a distribution over all values or items. For any set of slot values (e.g., contacts), a number of binary variable s are created that indicate whether or not each specific slot value was the intended target. For each slot value, a set of input features can be employed to predict the corresponding binary variable. These input features are generic properties of the contact that are “instantiated” based o n properties of the contact (e.g., contact-specific features). These contact-specific features can be stored in a user data store.