US 9,318,109 B2 · Techniques for updating a partial dialog state

Abstract

Embodiments provide for tracking a partial dialog state as part of managing a dialog state space, but the embodiments are not so limited. A method of an embodiment jointly models partial state update and named entity recognition using a sequence-based classification or other model, wherein recognition of named entities and a partial state update can be performed in a single processing stage at runtime to generate a distribution over partial dialog states. A system of an embodiment is configured to generate a distribution over partial dialog states at runtime in part using a sequence classification decoding or other algorithm to generate one or more partial dialog state hypothesis and/or a confidence score or measure associated with each hypothesis. Other embodiments are included.

Claims20

Dependent claims

A system for updating a partial dialog state, the system configured to:

receive user input at a first turn;
generate a semantic representation based on the user input at the first turn;
generate a partial dialog state based in part on the semantic representation associated with the first turn;
receive user input at a second turn;
generate the semantic representation based on the user input at the second turn;
update the partial dialog state for the second turn using a discriminative model using the semantic representation associated with the first turn and the second turn, wherein the partial dialog state is based on a time ordered sequence of an estimated user goal;
and
based in part on the partial dialog state, determining a dialog state as part of tracking a user goal.

5 more elements

Dependencies are inferred from the claim text.

Techniques for updating a partial dialog state

Life of this patent

Techniques for updating a partial dialog state

Life of this patent

Abstract

Claims20