Method and system for generating natural language training data

A non-transitory computer readable medium for generating training data for training one or more models implemented in a natural language processing system, the computer-readable medium comprising instructions that, when executed, cause a computer to perform operations comprising:

• storing one or more sentence patterns, wherein each sentence pattern comprises one or more entity variables, each entity variable comprising a definition to replace the entity variable with an instance of an entity matching the definition;
• accessing one or more entity sources, wherein each entity source comprises one or more entities to replace the one or more entity variables in accordance with the respective definition;
• generating a plurality of sentences by replacing respective entity variables in each sentence pattern with one or more entities in accordance with the definitions;
• and
• providing the plurality of sentences to train the one or more models.

A computer system for generating training data for training one or more models implemented in a natural language processing system, the system comprising:

• one or more processors;
• a memory coupled to the one or more processors and storing instructions and data for configuring the computer system to:
• store one or more sentence patterns, wherein each sentence pattern comprises one or more entity variables, each entity variable comprising a definition to replace the entity variable with an instance of an entity matching the definition;
• access one or more entity sources, wherein each entity source comprises one or more entities to replace the one or more entity variables in accordance with the respective definition;
• generate a plurality of sentences by replacing respective entity variables in each sentence pattern with one or more entities in accordance with the definitions;
• and
• provide the plurality of sentences to train the one or more models.