Patent classifications
G06F40/137
DYNAMIC ITERATION OF GROUPED COMPONENTS IN A TEMPLATE
Methods and systems for improved template compilation are disclosed. The system can enable repeating the content of grouped components for each entry in a designated data array from a custom database. With the same design style, each of the iterated components can contain individually different content based on the custom variables in the array. The system can improve efficiency in creating the customized email template. Furthermore, by relying on the custom databases, the system can optimize the template customization process to create personalized templates that match the customer's interests as wells as the business's goals.
Support hierarchical distribution of document objects
According to some embodiments, methods and systems may include a data storage device that contains document files associated with a plurality of document line objects with attributes, the attributes including item terms and conditions. An object exchange platform processor may receive input values for a selected document line object with attributes and determine that the selected document line object contains multiple object sets. The processor may then create, for each object set, a separate executable outline document having an outline document identifier. The processor may also arrange to establish the plurality of executable outline documents at a remote external central component platform. According to some embodiments, objects within the selected document line object have a hierarchical structure such that some objects are sub-items of other objects. Moreover, attributes of the objects within the selected document line object may be distributable and configurable in accordance with the hierarchical structure.
Support hierarchical distribution of document objects
According to some embodiments, methods and systems may include a data storage device that contains document files associated with a plurality of document line objects with attributes, the attributes including item terms and conditions. An object exchange platform processor may receive input values for a selected document line object with attributes and determine that the selected document line object contains multiple object sets. The processor may then create, for each object set, a separate executable outline document having an outline document identifier. The processor may also arrange to establish the plurality of executable outline documents at a remote external central component platform. According to some embodiments, objects within the selected document line object have a hierarchical structure such that some objects are sub-items of other objects. Moreover, attributes of the objects within the selected document line object may be distributable and configurable in accordance with the hierarchical structure.
MACHINE LEARNING TECHNIQUES FOR WORD-BASED TEXT SIMILARITY DETERMINATIONS
Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing text similarity determination. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform text similarity determination by using at least one of Word Mover's Similarity measures, Relaxed Word Mover's Similarity measures, and Related Relaxed Word Mover's Similarity measures.
MACHINE LEARNING TECHNIQUES FOR WORD-BASED TEXT SIMILARITY DETERMINATIONS
Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing text similarity determination. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform text similarity determination by using at least one of Word Mover's Similarity measures, Relaxed Word Mover's Similarity measures, and Related Relaxed Word Mover's Similarity measures.
Data-driven navigation and navigation routing
The described technology is directed towards data-driven navigation, in which a next navigation location depends on variable data associated with an interactive user interface element (rather than a fixed link). The data may be in a hierarchy of data models. A menu contains interactive navigation elements, each bound to a data model. A selected interactive navigation element results in locating a data model associated with the selected element. The data model is used to determine the next navigation location. Also described is hierarchical navigation to one item of a level as well as lateral and peer navigation.
Data-driven navigation and navigation routing
The described technology is directed towards data-driven navigation, in which a next navigation location depends on variable data associated with an interactive user interface element (rather than a fixed link). The data may be in a hierarchy of data models. A menu contains interactive navigation elements, each bound to a data model. A selected interactive navigation element results in locating a data model associated with the selected element. The data model is used to determine the next navigation location. Also described is hierarchical navigation to one item of a level as well as lateral and peer navigation.
Methods for Reinforcement Document Transformer for Multimodal Conversations and Devices Thereof
A computer-implemented method and system for enrichment of responses in a multimodal conversation environment are disclosed. A Question Answer (QA) engine, such as a reinforcement document transformer exploits a document template structure or layout, adapts the information extraction using a domain ontology, stores the enriched contents in a hierarchical form, and learns context and query patterns based on the intent and utterances of one or more queries. The region of enriched content for preparing a response to a given query is expanded or collapsed by navigating upwards or downwards in the hierarchy. The QA engine returns the most relevant answer with the proper context for one or more questions. The responses are provided to the user in one or more modalities.
SYSTEM AND METHOD FOR CONSTRUCTING DIGITAL DOCUMENTS
In some aspects described herein, a computer-based system that is capable of constructing digital documents is provided. In some implementations, a machine learning system is provided that learns certain terms within a document. The terms may be, for example, part of a document that forms a legally-binding contract between two entities. In one implementation of the machine learning system, the machine learning system interoperates within a user interface to show predictions of certain terms within the document to the user. Further, the machine learning system may capture user answers relating to certain terms and provide feedback into the system that learns during operation of the system, improving user interactions, accuracy and reducing the number of user interactions.
Dynamic generation of user interface components based on hierarchical component factories
Techniques for dynamically generating user interface (UI) components based on hierarchical component factories are disclosed. In one example, a component factory corresponding to each of a plurality of UI components may be defined. The plurality of UI components associated with an application may be registered with a common registry using associated metadata and configuration information. Each UI component may be mapped to a component factory of an associated parent UI component based on the associated metadata. A request to render at least a portion of the application on a UI may be received. At least one UI component corresponding to the request at each level in a hierarchy may be generated, at runtime, using the component factory associated with the at least one UI component and the common registry. The at least one generated UI component may be rendered on the UI.