Abstract: A blank template form generation method and system may employ synthetically generated blank template forms, differing from each other in one or more respects, to train a neural network to recognize relevant differences between otherwise similar forms, including types and locations of keywords and potential locations of values corresponding to the keywords. In an embodiment, filled or partly filled forms as well as blank template forms may be used later in training. Forms are input in pairs to identify differences between the two. Depending on the differences, weights of a neural network may be adjusted. After training, when a form is input into the system, whether the form is filled or blank, a blank template may be generated for future use.

Abstract: A method, computer system, and a computer program product for text data protection is provided. The present invention may include receiving a text data. The present invention may also include identifying a portion of the received text data having a highest impact on a first confidence score associated with a target model prediction. The present invention may further include generating at least one semantically equivalent text relative to the identified portion of the received text data. The present invention may also include determining that the generated at least one semantically equivalent text produces a second confidence score associated with the target model prediction that is less than the first confidence score associated with the target model prediction. The present invention may further include generating a prompt to suggest modifying the identified portion of the received text data using the generated at least one semantically equivalent text.

Abstract: In an approach, a processor trains a model, via a reinforcement learning process, to produce a first action function for relating states of a natural language based response environment to actions applicable to the natural language based response environment.

Abstract: The subject matter described herein relates to table detection in a spreadsheet. According to implementations of the subject matter described herein, there is proposed a solution for determining a table in a spreadsheet. In the solution, respective multiple attributes of multiple cells comprised in the spreadsheet may be extracted. Respective features of the multiple cells may be determined based on the extracted multiple attributes. The multiple cells may be divided into at least one candidate area based on the features. At least one candidate table in the spreadsheet may be determined based on the at least one candidate area. By means of the solution, respective features of the multiple cells comprised in the spreadsheet may be determined based on the respective attributes of the multiple cells, and further, a candidate region where a table might exist may be determined based on the respective features of the multiple cells.

Abstract: One embodiment provides a method, including: receiving two documents, one of the two documents having at least one table that includes the same information as a corresponding table in the other of the two documents, wherein (i) one of the two documents comprises the at least one table in an unstructured table representation and (ii) the other of the two documents comprises the at least one table in a structured table representation; identifying text elements within the at least one table in the unstructured table representation; matching the identified text elements with table elements within the at least one table in the structured table representation; and annotating the at least one table in the structured table representation based upon the matches between the table elements and text elements.

Abstract: Described herein is a system and method for detecting a layout table by a screen reader. Information regarding a document being displayed by an application is received from an application programming interface of a user interface automation system that provides information regarding user interface elements of application and/or the application. The information includes an indication that the document comprises a table. A determination is made as to whether the table is a data table or a layout table based upon the received information using a rule-based heuristic. When it is determined that the table is a layout table, presentation information associated with the layout table can be skipped over, and, cell data content within the layout table provided. Thus, for a determined layout table, the system and method allow the screen reader to act as if the containing table doesn't exist, but still read the content.

Abstract: A system and method is provided that ranks and sorts websites, apps, email, or VR environment content in real-time to increase engagement, CTR, conversions, and revenue. A client applies attributes to sections of the digital content. A server system tracks end user inputs and generates optimized layouts for the digital content, such as a webpage. The document layout is ordered or reorganized before or after the document is delivered to the end user.

Abstract: A computer software program for improving electronic spreadsheets to manage and control scenarios. The program provides methods for the user to record specific changes made to selected value of cells in the spreadsheet. Each recorded item can be dragged and re-ordered via a graphical user interface (GUI) to build up a scenario script. The script can be executed whereby the spreadsheet is updated with the recorded items. The method allows complex scenarios to be played back in step by incremental step, modified, re-ordered, corrected, and re-played while generating user-defined output reports & charts detailing each step change. The method provides a detailed information trail of all value changes made to the spreadsheet suitable for an independent third-party review. Different scenario components can be recorded in parallel by multiple users and then merged to produce a complete solution.

Abstract: Systems and methods for displaying hierarchical table headers as disclosed. The systems and methods can include operations performed by a viewer engine. The operations can include detecting a user interaction with a display of a portion of data. The operations can further include determining a second portion of the data to display. The operations can additionally include obtaining data information for the second portion of the data. The data information can include information about headers for the second portion of the data and information about child-parent relationships between the headers. The operations can include determining one or more hierarchical headers for the second portion of the data. The operations can further include rendering a table including the second portion of the data. The operations can additionally include displaying a display depicted the one or more hierarchical headers and a subset of the table including the second portion of the data.

Abstract: A system and process for extracting information from filled form images is described. In one example, the claimed invention first extracts textual information and the hierarchy in a blank form. This information is then used to extract and understand the content of filled forms. In this way, the system does not have to analyze from the beginning each filled form. The system is designed so that it remains as generic as possible. The number of hard-coded rules in the whole pipeline was minimized to offer an adaptive solution able to address the largest number of forms, with various structures and typography. The system is also created to be integrated as a built-in function in a larger pipeline. The form understanding pipeline could be the starting point of any advanced Natural Language Processing application.

Abstract: A server includes a memory and a processor to receive from a client device a screenshot of an application page from an application. The application page includes a form requiring data to be filled in by a user of the client device. A form template is extracted from the screenshot, with the extracted form template not including form field values. The extracted form template is compared to a private form template database for a match. The private form template database includes private form templates from different applications, with each private form template having form field values previously filled in for the user. Form field values from a matched private form template are provided to the client device for the client device to populate the form in the screenshot.

Abstract: A system and method for detecting webpage zones of interest. A method includes receiving at least one webpage analysis request, wherein the received at least one webpage analysis request includes at least one webpage in a website; identifying, in the at least one webpage, at least one zone, wherein the at least one zone is a content element of a webpage; classifying the at least one zone into a category of interest, wherein the classification is based on a trained machine learning model configured to classify DOM elements of the least one webpage, and wherein a category of interest is a category determined based on a functionality of the website; and storing the classification by indicating the category of interest for each zone.

Abstract: A method and computer readable medium for exploring similar users and items of a media service includes generating a user interface. The user interface displays a user selectable indicia representing a similar member function for allowing a user to search a media service for at least one other user. The one other user has a degree of similarity with respect to the searching user. Another method includes facilitating the search of such a similar user within a media service.

Abstract: A highlighting engine modifies a target document by identifying and highlighting a set of text passages. The highlighting engine receives a training set of data including documents that each include a set of highlighted text passages. The highlighting engine trains a machine learned model using the training set of data. The trained machine learned model, when applied to subsequent identified candidate sets of text passages within the target document, identifies the set of text passages to highlight. The highlighting engine modifies the target document with the highlighted set of text passages and provides the modified target document for display via an interface. The highlighted set of text passages enable a user to quickly read and understand the target document.

Abstract: A method and apparatus for correcting character errors, an electronic device and a storage medium are disclosed, which relates to the natural language processing field and the deep learning field. The method may include: for a character to be processed, acquiring the score of each character in a pre-constructed vocabulary, the score being a score of the reasonability of the character in the vocabulary at the position of the character to be processed; selecting top K characters as candidates of the character to be processed, K being a positive integer greater than one; selecting an optimal candidate from the K candidates; and replacing the character to be processed with the optimal candidate if the optimal candidate is different from the character to be processed. With the solution of the present application, the accuracy of an error correction result, or the like, may be improved.

Abstract: A method in one embodiment comprises monitoring interaction of a plurality of users with at least one website, extracting and analyzing data from the monitoring, wherein the data corresponds to interaction of the plurality of users with the at least one website, deriving one or more patterns of the plurality of users based on the analyzing, generating one or more rules regarding how content from the at least one website is at least one of sought, accessed and used, generating and transmitting to at least one organizational user device one or more recommendations for modifying how the content is at least one of organized and presented in connection with the at least one website, and executing at least one of reorganization and re-presentation of the content in connection with the at least one website.

Abstract: A device that includes an enterprise data indexing engine (EDIE) configured to receive a document that contains text and to convert the document into a markup language code. The EDIE is further configured to identify tags within the markup language code and to parse the markup language code into logical sections based on the tags. The EDIE is further configured to identify sentences within each of the logical sections and to link the identified sentences with a location identifier that identifies a location within the document where a sentence is located.

Abstract: A formula abstraction system is described. The system includes detecting a user-generated formula in a cell of a spreadsheet document, generating a graphical user interface that queries entries of a custom function based on the user-generated formula, forming the custom function by abstracting the user-generated formula to the custom function based on the entries, and storing the custom function in a function library of the spreadsheet document. The custom function applies the user-generated formula in a user-selected cell of the spreadsheet document.

Abstract: An information processing apparatus includes a processor. The processor is configured to acquire a recognition result of a table image containing a table; and perform control such that a screen on which the table image and the recognition result are arranged for each row or column of the table in an alternate manner is displayed.

Abstract: Provided are a method and apparatus for displaying table information, an electronic device and a non-transitory computer-readable storage medium. The method for displaying table information includes: acquiring a row information display instruction of a target table, where the row information display instruction includes information of a target content row; and displaying, in a portrait orientation, first information in a header row of the target table and second information in the target content row according to the row information display instruction, where a cell in which the first information is located and a cell in which the second information is located have a same column identifier.