A document that includes a plurality of textual portions is accessed. At least some of the textual portions include an input command that is configured to be directed to a process. For each respective textual portion that includes an input command the respective textual portion is input to a machine-learning model (MLM) that has been trained with a plurality of textual phrases and process identifiers that identify corresponding processes, a process identifier that identifies a process to which the input command included in the respective textual portion is to be directed is received from the MLM, and a command record that identifies the input command is stored in a data structure.

The present disclosure is related to automatic content generation. In one example, user interactions, associated with a target business process software application, are captured and stored. Further in this example, one or more scenarios of using the target business process software application are determined from the captured and stored user interactions. A set of rules are then formed and stored in a rules repository to generate the content. The content is then automatically generated using the captured and stored user interactions, the determined one or more scenarios of using the target business process software application and/or the stored set of rules.

A computer implemented method for the automated analysis or use of data is implemented by a voice assistant. The method comprises the steps of: (a) storing in a memory a structured, machine-readable representation of data that conforms to a machine-readable language (‘machine representation’); the machine representation including representations of user speech or text input to a human/machine interface; and (b) automatically processing the machine representations to analyse the user speech or text input.

Methods and systems for message response processing are described herein. A computing system may generate an input based on a plurality of messages, the input including content of the plurality and a prompt for an outcome, the plurality of messages including a received message and another message yet to be sent, and the outcome indicative of a level of responsiveness of the another message to the received message. The computing platform may determine the outcome responsive to the prompt based on the content of the plurality of messages included in the input. The computing platform may provide the outcome to a computing device before transmission of the another message, the outcome to enable modification the another message to adjust responsiveness of the another relative to the received message.

Methods and systems for message response processing are described herein. A computing system may generate an input based on a plurality of messages, the input including content of the plurality and a prompt for an outcome, the plurality of messages including a received message and another message yet to be sent, and the outcome indicative of a level of responsiveness of the another message to the received message. The computing platform may determine the outcome responsive to the prompt based on the content of the plurality of messages included in the input. The computing platform may provide the outcome to a computing device before transmission of the another message, the outcome to enable modification the another message to adjust responsiveness of the another relative to the received message.

An extraction apparatus includes an input-data analysis unit that, when an extraction process is performed on input data containing a plurality of XBRL files using a combination of a plurality of extraction criteria, each of the extraction criteria directly specifying an element and an aspect of each of the plurality of XBRL files, calculates, from the input data, distribution information containing distribution of values of individual aspects of a plurality of elements that are individually provided by the plurality of XBRL files, and an application-sequence determining unit that determines an application sequence of the plurality of extraction criteria by referring to the calculated distribution information. Hence, the extraction apparatus can extract XBRL data pieces containing data items to be validated against a validation rule from the input data rapidly.

In some implementations, a system dynamically adjusts an electronic form of an application based on user data and form data specified for the electronic form. Form data that specifies characteristics of the electronic form is initially received by a computing device. The form data specifies one or more rules configured to vary the content of the electronic form that is presented for different users. User data indicating characteristics of a user is then obtained by the computing device. An interactive element is then selected from among a set of multiple interactive elements based on the received user data and the rules in the received form data. A view of the electronic form is customized for the user by including, in the customized view, the interactive element. The view of the customized electronic form is then displayed by the computing device.

In some implementations, a system dynamically adjusts an electronic form of an application based on user data and form data specified for the electronic form. Form data that specifies characteristics of the electronic form is initially received by a computing device. The form data specifies one or more rules configured to vary the content of the electronic form that is presented for different users. User data indicating characteristics of a user is then obtained by the computing device. An interactive element is then selected from among a set of multiple interactive elements based on the received user data and the rules in the received form data. A view of the electronic form is customized for the user by including, in the customized view, the interactive element. The view of the customized electronic form is then displayed by the computing device.

A method for a XML editor includes loading one or more files, extracting elements that extend a browser user interface from the one or more files, and presenting a graphical user interface (GUI) for editing the plug-in XML manifest file. The method further includes receiving one or more user edits to the plug-in XML manifest file through the GUI, validating the one or more user edits against properties of the elements, and generating a warning in the GUI for a user edit that conflicts with a property of an element. The method also includes generating or updating XML code in the plug-in XML manifest file in response to the one or more user edits, and saving the XML code.

Systems and methods may be provided for performing a search on an input text block. The input text block may be split into a plurality of input text segments. A text similarity algorithm may be used to find similar stored text segments to each of the plurality of input text segments.