Building system with string mapping based on a sequence to sequence neural network

A method comprising:

• receiving, by one or more processing circuits, training data comprising a plurality of tag strings, wherein a tag string of the plurality of tag strings is a translation of an acronym string of a plurality of acronym strings, and wherein the plurality of acronym strings include a plurality of acronyms that represent a plurality of entities of a building;
• training, by the one or more processing circuits, a sequence to sequence neural network based on the training data;
• receiving, by the one or more processing circuits, an acronym string comprising a particular plurality of acronyms;
• and
• outputting, by the one or more processing circuits using the sequence to sequence neural network, a tag of a tag string for one acronym of the particular plurality of acronyms based on a placement of the one acronym within the acronym string.

One or more non-transitory storage medium configured to store instructions thereon that, when executed by one or more processors, cause the one or more processors to:

• receive training data comprising a plurality of tag strings, wherein a tag string of the plurality of tag strings is a translation of an acronym string of a plurality of acronym strings, and wherein the plurality of acronym strings include a plurality of acronyms that represent a plurality of entities of a building;
• train a sequence to sequence neural network based on the training data;
• receive an acronym string comprising a particular plurality of acronyms;
• and
• output, using the sequence to sequence neural network, a tag of a tag string for one acronym of the particular plurality of acronyms based on a placement of the one acronym within the acronym string.