Automatic suggestion of domain-specific knowledge

A computer system comprising:

• one or more processors;
• and
• one or more non-transitory computer-readable storage media coupled to the one or more processors and storing instructions, execution of which by the one or more processors, causes the computer system to execute:
• receiving, from a client computing device executing a browser and a text processing extension that extends functions of the browser, a text input from a computing device, wherein the text input comprises a plurality of words of a web page rendered by the browser;
• distributing sentences of the text input to a first check, a second check, and a third check that execute in parallel, the first check being configured to check grammar, the second check being configured to detect a tone, and the third check being configured to detect at least one of entities, acronyms, or keywords;
• accessing a data store of common knowledge;
• generating, using a generative artificial intelligence model, contextual features in a query associated with the text input, wherein the contextual features include a definition for a detected at least one of the entities, acronyms, or keywords;
• the generative artificial intelligence model having been trained to generate the contextual features in the query based on the common knowledge;
• generating, using the generative artificial intelligence model, a text output using the contextual features in the query associated with the text input;
• and
• sending, to the client computing device, instructions for presenting the text output in the browser in a graphical user interface panel near the plurality of words of the web page.

One or more computer-readable non-transitory storage media embodying software that, when executed in a processing system, causes the processing system to:

• receive, from a client computing device executing a browser and a text processing extension that extends functions of the browser, a text input from a computing device, wherein the text input comprises a plurality of words of a web page rendered by the browser;
• distribute sentences of the text input to a first check, a second check, and a third check that execute in parallel, the first check being configured to check grammar, the second check being configured to detect a tone, and the third check being configured to detect at least one of entities, acronyms, or keywords;
• access a data store of common knowledge;
• generate, using a generative artificial intelligence model, contextual features in a query associated with the text input, wherein the contextual features include a definition for a detected at least one of the entities, acronyms, or keywords;
• the generative artificial intelligence model having been trained to generate the contextual features in the query based on the common knowledge;
• generate, using the generative artificial intelligence model, a text output using the contextual features in the query associated with the text input;
• and
• send, to the client computing device, instructions for presenting the text output in the browser in a graphical user interface panel near the plurality of words of the web page.