US 2021/0280175 A1 · SYSTEMS AND METHODS FOR INTERPRETING NATURAL LANGUAGE SEARCH QUERIES USING TRAINING DATA

Abstract

A frequency of occurrence for each term in a training data set is determined in relation to the entire training data set. A relational data structure is generated that associates each term in the training data with its respective frequency. Any term that has a frequency below a threshold frequency is then added to a list of relevant words. When a natural language search query is received, a plurality of terms in the natural language search query are identified and compared with the list of relevant words. If any term of the natural language search query is included in the relevant words list, that term is identified as a keyword. The natural language search query is then interpreted based on any identified keywords.

Claims17

Dependent claims

A computer-implemented method for interpreting a natural language search query based on training data comprising a first plurality of terms, the method comprising, using processing circuitry for:

determining a respective frequency with which each of the first plurality of terms occurs in the training data;
generating a relational data structure associating each term of the first plurality of terms with its respective frequency;
adding a term of the first plurality of terms to a list of relevant terms when its frequency is below a threshold;
receiving the natural language search query;
identifying a second plurality of terms in the natural language search query;
determining, for each term of the second plurality of terms, whether the term is included in the list of relevant terms;
in response to determining that a term of the second plurality of terms is included in the list of relevant terms, identifying the term as a keyword;
and
interpreting the natural language search query based on the identified keywords.

6 more elements

A system for interpreting a natural language search query based on training data comprising a first plurality of terms, the system comprising control circuitry configured to:

determine a respective frequency with which each of the first plurality of terms occurs in the training data;
generate a relational data structure associating each term of the first plurality of terms with its respective frequency;
add a term of the first plurality of terms to a list of relevant terms when its frequency is below a threshold;
receive the natural language search query;
identify a second plurality of terms in the natural language search query;
determine, for each term of the second plurality of terms, whether the term is included in the list of relevant terms;
in response to determining that a term of the second plurality of terms is included in the list of relevant terms, identify the term as a keyword;
and
interpret the natural language search query based on the identified keywords.

6 more elements

A non-transitory computer-readable medium having non-transitory computer-readable instructions encoded thereon for interpreting a natural language search query based on training data comprising a first plurality of terms that, when executed by control circuitry, cause the control circuitry to:

determine a respective frequency with which each of the first plurality of terms occurs in the training data;
generate a relational data structure associating each term of the first plurality of terms with its respective frequency;
add a term of the first plurality of terms to a list of relevant terms when its frequency is below a threshold;
receive the natural language search query;
identify a second plurality of terms in the natural language search query;
determine, for each term of the second plurality of terms, whether the term is included in the list of relevant terms;
in response to determining that a term of the second plurality of terms is included in the list of relevant terms, identify the term as a keyword;
and
interpret the natural language search query based on the identified keywords.

6 more elements

Dependencies are inferred from the claim text.

Systems and methods for interpreting natural language search queries using training data

Life of this patent

Systems and methods for interpreting natural language search queries using training data

Life of this patent

Abstract

Claims17