Abstract: Systems, methods and computer program products are presented for a named entity recognition engine. The NER Engine initiates extraction of named entities from a document(s) and identifies one or more required parameters that correspond to a document outline type classification(s) of the document(s). The NER Engine applies a named entity recognition model to the extracted named entities to predict respective mappings between the extracted named entities and the one or more required parameters, wherein the said mapping depends on a Previous Number of Words model which is based on a same predefined number of words that appear before a named entity, as well as a model based on the named entity being included in a document sentence, and a model which depends on position of the named entity in the document. The NER Engine generates a user interface for display of the predicted respective mappings.

Abstract: Systems, methods and computer program products are presented for the automation of corporate process workflows that require the generation and completion of multiple documents. An Automation Platform receives a selection to initiate a workflow process that includes a sequence of one or more documents that correspond to respective document outline types for workflow completion. The Automation Platform classifies a first document according to a first document outline type in the sequence of the initiated workflow process. The Automation Platform assigns (i.e. maps) one or more named entities extracted from the first document to respective document parameters for the first document outline type and determines a schedule for automatic completion of a second document in the sequence of the initiated workflow process based in part on the first document outline type of the first document and one or more of the assigned named entities extracted from the first document.

Abstract: Systems, methods and computer program products are presented for a named entity recognition engine. The NER Engine initiates extraction of named entities from a document(s) and identifies one or more required parameters that correspond to a document outline type classification(s) of the document(s). The NER Engine applies a named entity recognition model to the extracted named entities to predict respective mappings between the extracted named entities and the one or more required parameters. The NER Engine generates a user interface for display of the predicted respective mappings.

Abstract: Systems, methods and computer program products are presented for the automation of corporate process workflows that require the generation and completion of multiple documents. An Automation Platform receives a selection to initiate a workflow process that includes a sequence of one or more documents that correspond to respective document outline types for workflow completion. The Automation Platform classifies a first document according to a first document outline type in the sequence of the initiated workflow process. The Automation Platform assigns (i.e. maps) one or more named entities extracted from the first document to respective document parameters for the first document outline type and determines a schedule for automatic completion of a second document in the sequence of the initiated workflow process based in part on the first document outline type of the first document and one or more of the assigned named entities extracted from the first document.