Triggering execution of machine learning based prediction of document metadata

A non-transitory computer-readable storage medium storing executable instructions that, when executed by one or more computer processors, cause the one or more computer processors to perform operations comprising:

• execute, by a document management system, document workflows for one or more documents, wherein each of the one or more documents represents an interaction between a plurality of entities, each document workflow comprising a plurality of steps;
• receive one or more trigger criteria, each trigger criterion specifying conditions for triggering execution of machine learning based prediction of metadata attributes for a document;
• execute, for each document of the one or more documents:
• receive status of execution of a particular step of document workflow for the document;
• evaluate a trigger criterion associated with the document based on the received status of execution of the particular step;
• responsive to the evaluation of the trigger criterion indicating that metadata prediction should be triggered, send request for prediction of metadata attributes based on the document by executing one or more machine learning models trained to predict a likelihood that a portion of an input document represents a metadata attribute describing an interaction between a plurality of entities, wherein the portion of the input document comprises a token or sequence of tokens from the document associated with the metadata attribute;
• annotate the document with one or more metadata attributes predicted using the one or more machine learning models;
• and
• cause for display, the annotated document via a user interface.

A computer system comprising:

• one or more computer processors;
• and
• a non-transitory computer-readable storage medium storing executable instructions that, when executed by the one or more computer processors, cause the one or more computer processors to perform operations comprising:
• execute, by a document management system, document workflows for one or more documents, wherein each of the one or more documents represents an interaction between a plurality of entities, each document workflow comprising a plurality of steps;
• receive one or more trigger criteria, each trigger criterion specifying conditions for triggering execution of machine learning based prediction of metadata attributes for a document;
• execute, for each document of the one or more documents:
• receive status of execution of a particular step of document workflow for the document;
• evaluate a trigger criterion associated with the document based on the received status of execution of the particular step;
• responsive to the evaluation of the trigger criterion indicating that metadata prediction should be triggered, send request for prediction of metadata attributes based on the document by executing one or more machine learning models trained to predict a likelihood that a portion of an input document represents a metadata attribute describing an interaction between a plurality of entities, wherein the portion of the input document comprises a token or sequence of tokens from the document associated with the metadata attribute;
• annotate the document with one or more metadata attributes predicted using the one or more machine learning models;
• and
• cause for display, the annotated document via a user interface.