Pretrained model for extracting content from a plurality of domains

A system for developing a pretrained model for extracting content from a corpus of documents, wherein the system comprises:

• at least one processor;
• a memory storing instructions that, when executed by the at least one processor, cause the system to:
• receive the corpus of documents associated with a specific domain;
• tag each unique field of a document with an expected value;
• define a plurality of field characteristics for the each unique field of the document;
• select for the each unique field one or more tool categories, and a combination of tools for each tool category, based on the plurality of field characteristics, wherein the one or more tool categories and the combination of tools for the each tool category are defined in a tool selection framework;
• extract one or more values associated with the each unique field in the each document by using the one or more tool categories, and the combination of tools in the each tool category, wherein each value is associated with a confidence score obtained by matching the one or more extracted values associated with the each unique field with the expected value of the each unique field;
• and
• update the one or more tool categories and the combination of tools for the each unique field based on the confidence score, wherein the updated one or more tool categories and the combination of tools of the tool selection framework comprise the pretrained models.

A non-transitory computer-readable medium having stored thereon computer-readable instructions that, when executed by a processor, cause the processor to execute a pretrained model configured to:

• receive the plurality of documents associated with one or more domains;
• tag each unique field of a document with an expected value;
• define a plurality of field characteristics for the each unique field of the document;
• select for the each unique field one or more tool categories, and a combination of tools for each tool category, based on the plurality of field characteristics, wherein the one or more tool categories and the combination of tools for the each tool category are defined in a tool selection framework;
• extract one or more values associated with the each unique field in the each document by using the one or more tool categories, and the combination of tools in the each tool category, wherein each value is associated with a confidence score obtained by matching the one or more extracted values associated with the each unique field with the expected value of the each unique field;
• and
• update the one or more tool categories and the combination of tools for the each unique field based on the confidence score.