Intent Classification Method and System
AssigneeCloudMinds Technology, Inc.
InventorRuixi LIN
Life of this patent
Estimating the term…
Abstract
An intent classification method and a system for realizing the intent classification method are provided. The intent classification method can be used for determining an intent class of a sentence input in a language containing information-bearing characters, such as Chinese. The method specifically comprises a step of obtaining at least one set of word embeddings and character embeddings from the sentence input to thereby generate at least one set of integrated word-character embeddings, and a step of determining an intent class corresponding to the sentence input based on the at least one set of integrated word-character embeddings. Herein, each of the at least one set of integrated word-character embeddings corresponds to one of the at least one set of word embeddings and character embeddings.
Claims20
A computer-implemented method for determining an intent class of a sentence input in a language containing information-bearing characters, comprising:
- obtaining at least one set of word embeddings and character embeddings from the sentence input to thereby generate at least one set of integrated word-character embeddings, each corresponding to one of the at least one set of word embeddings and character embeddings;
- and
- determining an intent class corresponding to the sentence input based on the at least one set of integrated word-character embeddings.
A system, comprising:
- at least one processor;
- and
- a memory storing instructions that, when executed by the at least one processor, cause the system to:
- obtain at least one set of word embeddings and character embeddings from a sentence input to thereby generate at least one set of integrated word-character embeddings, each corresponding to one of the at least one set of word embeddings and character embeddings;
- and
- determine an intent class corresponding to the sentence input based on the at least one set of integrated word-character embeddings.
Dependencies are inferred from the claim text.