A computer-implemented method, apparatus and program product use the spatial locations of words identified in an unstructured document to both reconstruct lines in the unstructured document and vertically partition the unstructured document. Key/value pairs may then be generated from one or more of the reconstructed lines by using one or more words to one side of the vertical partition as keys and using one or more words to the other side of the vertical partition as values.

It is provided a computer-implemented method for recording one or more documents. Each document comprises at least one word. The method comprises providing one or more documents forming a first set of documents. The method comprises dividing each document of the first set into one or more blocks. The method comprises creating a directed graph representing relationships established between the blocks of documents of the first set. The method comprises providing at least one block from a previous division of each document of a second set of documents. The method comprises merging the directed graph created for the first set with another directed graph previously created for the second set and taking account of at least one established relationship. The method improves the recording of the sets of documents.

It is provided a computer-implemented method for recording one or more documents. Each document comprises at least one word. The method comprises providing one or more documents forming a first set of documents. The method comprises dividing each document of the first set into one or more blocks. The method comprises creating a directed graph representing relationships established between the blocks of documents of the first set. The method comprises providing at least one block from a previous division of each document of a second set of documents. The method comprises merging the directed graph created for the first set with another directed graph previously created for the second set and taking account of at least one established relationship. The method improves the recording of the sets of documents.

Methods for generating data models using a generative adversarial network can begin by receiving a data model generation request by a model optimizer from an interface. The model optimizer can provision computing resources with a data model. As a further step, a synthetic dataset for training the data model can be generated using a generative network of a generative adversarial network, the generative network trained to generate output data differing at least a predetermined amount from a reference dataset according to a similarity metric. The computing resources can train the data model using the synthetic dataset. The model optimizer can evaluate performance criteria of the data model and, based on the evaluation of the performance criteria of the data model, store the data model and metadata of the data model in a model storage. The data model can then be used to process production data.

Methods for generating data models using a generative adversarial network can begin by receiving a data model generation request by a model optimizer from an interface. The model optimizer can provision computing resources with a data model. As a further step, a synthetic dataset for training the data model can be generated using a generative network of a generative adversarial network, the generative network trained to generate output data differing at least a predetermined amount from a reference dataset according to a similarity metric. The computing resources can train the data model using the synthetic dataset. The model optimizer can evaluate performance criteria of the data model and, based on the evaluation of the performance criteria of the data model, store the data model and metadata of the data model in a model storage. The data model can then be used to process production data.

A system, method, apparatus, and computer program product that scans a document to locate potentially significant terms, such as loopholes, legal clauses, as well as other potential harmful language and identifies the significant term to the user for further review. The invention may also provide access resources such as legal resources for the user to utilize. The invention can also produce document scanning software for other professional and technical fields to assess and highlight significant terms. An artificial intelligence (AI) component parses the document and analyze the document to identify one or more significant terms within a corpus of the document, determine a credibility score for the document, and gather and annotate the document with supplemental content related to each of the one or more significant terms.

Systems and methods electronically tag received data associated with an entity with an electronic tag including an identifier uniquely associated with the entity. The system may electronically store the received data such that the received data is identifiable via the electronic tag. Then, when a request for deletion of all the entity’s data is made by the particular entity, it is fulfilled with much less effort, namely by searching for elements with that entity’s tag. Whenever that data is copied, transformed, or derivative data is made, the system copies the electronic tag with it. Thus, even when the data is copied or modified, it can be more efficiently identified as being associated with the particular entity. In some embodiments, the tagging includes electronically recording an association of the electronic tag with the received data as a transaction on a blockchain, the transaction on the blockchain being associated with the electronic tag and with the received data.

A sensory content production system generates sensory associated with concepts identified in an electronic document. Definitions of each concept are identified, and the concepts are stored in connection with their associated definitions. Sensory content is generated for the concepts and concepts definitions and stored in connection with each other in a sensory content layer. Availability of sensory content is indicated to users by interactive markers.

A sensory content production system generates sensory associated with concepts identified in an electronic document. Definitions of each concept are identified, and the concepts are stored in connection with their associated definitions. Sensory content is generated for the concepts and concepts definitions and stored in connection with each other in a sensory content layer. Availability of sensory content is indicated to users by interactive markers.

The presently disclosed embodiments may include a computer readable medium including instructions that when executed by one or more processing devices cause the one or more processing devices to perform a method. The method may include: analyzing an electronic document text; identifying in the electronic document text a first drafted text element to be modified; causing the first drafted text element to be highlighted to a user on a display; generating at least one text output option that conveys a meaning associated with the first drafted text element but includes one or more changes relative to the first drafted text element; and causing the at least one text output option to be shown to the user via the display.