Patent ID: 11875128
Assignee: ADA SUPPORT INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 20:
21. A system for training an intent classifier comprising:
a memory; and
a processing device in communication with the memory, the processing device configured to execute instructions to cause the computing system to:
receive a question-intent tuple dataset comprising data samples, each data sample of the question-intent tuple dataset having:
a question,
an intent; and
a task;

obtain a pre-trained language model, the pre-trained language model being a pre-trained bidirectional encoder representations from transformers model, the pre-trained language model comprising a plurality of embedding layers comprising learnable parameters with values obtained with the pre-trained language model;
generate a fine-tuned language model by adjusting values of the learnable parameters of the pre-trained language model, adjusting values of the learnable parameters being performed by generating a plurality of neural network models using the question-intent tuple dataset, wherein each neural network model of the plurality of neural network models is trained to predict at least one intent of a respective question having a same task value of the tasks of the question-intent tuple dataset, each task value representing a source of the question and a respective intent, the fine-tuned language model generating embeddings for training input data, the training input data comprising a plurality of data samples having questions and intents;
generate feature vectors for the data samples of the training input data; and
generate an intent classification model for predicting at least one intent of the training input data using the feature vectors of the training input data.