A label processing engine receives, as inputs, raw data representative of a label and baseline data, detects a raw data object within the raw data, classifies the raw data object, and localizes the raw data object within the raw data, detects a baseline data object within the baseline data, classifies the baseline data object, and localizes the baseline data object within the baseline data. The engine recognizes corresponding text within the raw data object and the baseline data object and extracts the corresponding text within the raw data object and the baseline data object, reassembles the corresponding text of the raw data object and the baseline data object into respective lines of text, compares the respective lines of text with one another, and issues a notification based on the comparison.

A processor obtains a table that contains numerical values or character strings in its cells. The processor then replaces each numerical value with a first constant value, and each character string with a second constant value. The two constant values have opposite signs. The processor generates area datasets each including first to third rectangular areas. The right side of the second rectangular area coincides with the left side of the first rectangular area. The bottom side of the third rectangular area coincides with the top side of the first rectangular area. With respect to each generated area dataset, the processor compares a sum of first and second constant values in the first rectangular area with a sum of first and second constant values in the second and third rectangular areas. The processor outputs at least one of the area datasets according to the comparison result.

A counting device (100) provided with a subtree generating part (123) for generating first subtree comprising a first sentence and a second subtree comprising a second sentence. The counting device (100) is provided with: a categorizing part (125) for categorizing the first subtree in the same group as the second subtree when it is determined that a first expression represented by the first subtree and a second expression represented by a second subtree represent a matching content; and an output part (127) for outputting the number of subtrees categorized in the group, or an expression represented by a plurality of syntax trees or one of the subtrees categorized in the aforementioned group.

Systems and methods are disclosed herein for resolving a change to a table. A processing circuitry receives, from a user in a collaborative document editing environment, the change to the table, wherein the change comprises an expansion of a first cell in the table. A first state of the first cell is identified, wherein the state is indicative of a number of columns and a number of rows over which the first cell spans, and at least one of the number of columns and the number of rows is greater than one. A second state of a second cell that is adjacent to the first cell is identified, and the processing circuitry selects whether to allow the expansion of the first cell based on the second state of the second cell.

A computer system for extracting structured data from unstructured or semi-structured text in an electronic document, the system comprising: a graphical user interface configured to present to a user a graphical view of a document for use in training multiple data extraction models for the document, each data extraction model associated with a user defined question; a user input component configured to enable the user to highlight portions of the document; the system configured to present in association with each highlighted portion an interactive user entry object which presents a menu of question types to a user in a manner to enable the user to select one of the question types, and a field for receiving from the user a question identifier in the form of human readable text, wherein the question identifier and question type selected by the user are used for selecting a data extraction model, and wherein the highlighted portion of the document associated with the question identifier is used to train the selected data extraction model.

Described are methods, systems and computer readable media for performance logging of complex query operations.

Described are methods, systems and computer readable media for performance logging of complex query operations.

Disclosed herein is a method of controlling data display device. The method includes: loading a monitoring view to initialize it; determining whether to display a tabular view; setting a tabular module if it is determined that the tabular view is to be displayed; displaying the tabular view according to set conditions; and checking whether to perform a view update mode during the displaying the tabular view.

Natural language content can be provided by multiple and various sources. Once in text format, such content may be provided to various systems for further processing to identify one or more propositions. The relationship between each proposition may be identified and ordered according to the identified relationships. A visual display may be generated to illustrate the identified propositions and relationship, as well as identify any propositions that may be missing, unsupported, or other characteristic thereof.

Natural language content can be provided by multiple and various sources. Once in text format, such content may be provided to various systems for further processing to identify one or more propositions. The relationship between each proposition may be identified and ordered according to the identified relationships. A visual display may be generated to illustrate the identified propositions and relationship, as well as identify any propositions that may be missing, unsupported, or other characteristic thereof.