US 2023/0147359 A1 · OPEN INPUT CLASSIFIER WITH ENTAILMENT

Abstract

A natural language processing combination classifier is disclosed, leveraging an entailment classifier and optionally at least one of a pattern matching classifier and a trained machine learning (ML) classifier. Each of the different types of classifiers can be used to identify different categories of matches. For example, a pattern matching (e.g., regular expression) classifier may identify exact matches, an entailment classifier can obtain context-specific classifications based on likelihood of entailment to comparison data, and the SML classifier can obtain potential matches based on large-scale supervised training. The comparison data for the entailment classifier can be generated from small datasets, and can be readily updated without the need for retraining any machine learning models. Different types of classifiers can be processed using different logic to provide a user with the most appropriate response given a circumstance and given the user’s open input.

Claims30

Dependent claims

A system, comprising:

one or more data processors;
and
a non-transitory computer-readable storage medium containing instructions which, when executed on the one or more data processors, cause the one or more data processors to perform operations including:
receiving an input phrase associated with a topic;
accessing entailment comparison data, wherein the entailment comparison data includes a plurality of example inputs associated with a plurality of topics, wherein the plurality of topics includes the topic;
generating classification data for the input phrase, wherein generating the classification data includes applying an entailment classifier to the input phrase using the entailment comparison data, wherein the generated classification data is indicative of the topic;
and
generating a response based at least in part on the generated classification data.

5 more elements

A computer-implemented method, comprising:

executed on the one or more data processors, cause the one or more data processors to perform operations including:
receiving an input phrase associated with a topic;
accessing entailment comparison data, wherein the entailment comparison data includes a plurality of example inputs associated with a plurality of topics, wherein the plurality of topics includes the topic;
generating classification data for the input phrase, wherein generating the classification data includes applying an entailment classifier to the input phrase using the entailment comparison data, wherein the generated classification data is indicative of the topic;
and
generating a response based at least in part on the generated classification data.

3 more elements

A computer-program product tangibly embodied in a non-transitory machine-readable storage medium, including instructions configured to cause a data processing apparatus to perform operations including:

receiving an input phrase associated with a topic;
accessing entailment comparison data, wherein the entailment comparison data includes a plurality of example inputs associated with a plurality of topics, wherein the plurality of topics includes the topic;
generating classification data for the input phrase, wherein generating the classification data includes applying an entailment classifier to the input phrase using the entailment comparison data, wherein the generated classification data is indicative of the topic;
and
generating a response based at least in part on the generated classification data.

2 more elements

Dependencies are inferred from the claim text.

Open input classifier with entailment

Life of this patent

Open input classifier with entailment

Life of this patent

Abstract

Claims30