A request is received to display at least a portion of a first events set and at least a portion of a second events set in an interleaved and visually distinct display format, where, in the interleaved and visually distinct display format, the at least a portion of the first events set is displayed in a visually distinct manner from the at least a portion of the second events set, and data from the at least a portion of the first events set is interleaved with data from the at least a portion of the second events set. In response to receiving the request, display is caused, on a user interface, of the at least a portion of the first events set and the at least a portion of the second events set in the interleaved and visually distinct display format.

A method for maintaining links is described. A document selection is received, including a first destination document containing a first link to linked content. A first source document containing the linked content and not contained within the document selection is identified using the first link. A copy mode is selected, using an intrinsic property associated with the first link, from: a first mode where a second destination document that is a copy of the first destination document is generated and includes a second link to the linked content within the first source document, without copying the first source document, and a second copy mode where i) a second source document that is a copy of the first source document is generated, ii) the second destination document is generated and includes a second link to the linked content within the second source document. The selected copy mode is performed.

Disclosed herein is computer technology that provides adaptive mechanisms for learning concepts that are expressed by natural language sentences, and then applies this learning to appropriately classify new natural language sentences with the relevant concept that they express. The computer technology can also discover the uniqueness of terms within a training corpus, and sufficiently unique terms can be flagged for the user for possible updates to an ontology for the system.

A method in a data processing system and apparatus for organizing electronic data, structured or unstructured, of one or more users stored across one or more server computers into structures on a recordable medium of a data processing system. The data items are structured in a heterogeneous string structure, and one or more embedded n-dimensional range structure within the heterogeneous string structure. Searching the plurality of string structures can then be done with a query including at least one term and a range threshold. Each data item is associated with a scoring function that is used to filter and rank the matched results.

A document processing system processes documents including typewritten and/or handwritten data by converting them to document images for entity extraction. A received document is initially processed to generate a deep document data structured and for classification as one of a structured or an unstructured document. If the document is classified as a structured document, it is processed for entity extraction based on a matching template and image alignment of the document image with the matching template. If the document is classified as an unstructured document, entities are extracted by obtaining nodes and providing the nodes to a self-supervised masked visual language model.

A method of generating a searchable representation of an electronic document includes obtaining an electronic document specifying a graphical layout of content items including text. The method also includes determining pixel data representing the graphical layout of the content items and providing input data based, at least in part, on the pixel data to a document parsing model. The document parsing model is trained to detect functional regions within the graphical layout based on the input data, assign boundaries to the functional regions based on the input data, and assign a category label to each functional region that is detected. The method also includes matching portions of the text to corresponding functional regions based on the boundaries assigned to the functional regions and locations associated with the portions of the text and storing data representing the content items, the functional regions, and the category labels in a searchable data structure.

A digital data processor includes an instruction memory storing instructions specifying a data processing operation and a data operand field, an instruction decoder coupled to the instruction memory for recalling instructions from the instruction memory and determining the operation and the data operand, and an operational unit coupled to a data register file and to an instruction decoder to perform a data processing operation upon an operand corresponding to an instruction decoded by the instruction decoder and storing results of the data processing operation. The operational unit is configured to perform a table write in response to a look up table initialization instruction by duplicating at least one data element from a source data register to create duplicated data elements, and writing the duplicated data elements to a specified location in a specified number of at least one table and a corresponding location in at least one other table.

To enable a user to easily recognize temporal order of elements included in a retrieval sentence, a retrieval sentence utilization device 10 includes: a retrieval sentence division unit 11 for dividing a retrieval sentence into a plurality of retrieval contents each of which includes an event; and a directed graph generation unit 12 for generating, from each of the retrieval contents, a subtree in which the event is an edge and a source of the event and an object of the event are nodes, and integrating a plurality of subtrees generated from the retrieval contents to generate a directed graph, wherein the directed graph generation unit 12 places the plurality of subtrees in the directed graph according to occurrence order of events corresponding to the plurality of subtrees.

Embodiments include systems, methods, articles of manufacture, and computer-readable media configured process data in a structured format and an unstructured format and applying one or more algorithms to detect elements and links between the elements in the data. Embodiments are further configured to generate a graph model comprising nodes comprising the elements and edges comprising the links.

A method of generating a searchable representation of an electronic document includes obtaining an electronic document specifying a graphical layout of content items including text. The method also includes determining pixel data representing the graphical layout of the content items and providing input data based, at least in part, on the pixel data to a document parsing model. The document parsing model is trained to detect functional regions within the graphical layout based on the input data, assign boundaries to the functional regions based on the input data, and assign a category label to each functional region that is detected. The method also includes matching portions of the text to corresponding functional regions based on the boundaries assigned to the functional regions and locations associated with the portions of the text and storing data representing the content items, the functional regions, and the category labels in a searchable data structure.