Abstract: Systems and methods are disclosed for a voice/chatbot building system. The voice/chatbot builder may involve receiving an identified intent, receiving a task related to the identified intent, and receiving a response related to both the identified intent and the task. The identified intent, task, and response may form a first conversation. The first conversation may be linked to other conversations to establish contextual relationships among conversations and determine conversation priority. Voice/chatbot building may also train natural language processing machine learning algorithms.

Abstract: A system for generating a response to a customer query includes a computing device configured to obtain a first dataset, including a plurality of first phrase-intent pairs associated with a first domain. Each first phrase-intent pair includes a first phrase and a corresponding first intent. The computing device is configured to retrieve a set of configuration rules to configure a plurality of environments. The computing device is also configured to configure a first environment using the first dataset and the set of configuration rules to determine a result user intent based on a requested query associated with the first domain. The first environment embeds the plurality of first phrase-intent pairs in a vector space based on the set of configuration rules. The computing device is configured to perform operations based on the first environment.

Abstract: A system for generating a response to a customer query includes a computing device configured to obtain a first dataset, including a plurality of first phrase-intent pairs associated with a first domain. Each first phrase-intent pair includes a first phrase and a corresponding first intent. The computing device is configured to retrieve a set of configuration rules to configure a plurality of environments. The computing device is also configured to configure a first environment using the first dataset and the set of configuration rules to determine a result user intent based on a requested query associated with the first domain. The first environment embeds the plurality of first phrase-intent pairs in a vector space based on the set of configuration rules. The computing device is configured to perform operations based on the first environment.

Abstract: Systems and methods are disclosed for a voice/chatbot building system. The voice/chatbot builder may involve receiving an identified intent, receiving a task related to the identified intent, and receiving a response related to both the identified intent and the task. The identified intent, task, and response may form a first conversation. The first conversation may be linked to other conversations to establish contextual relationships among conversations and determine conversation priority. Voice/chatbot building may also train natural language processing machine learning algorithms.

Abstract: Systems, methods and articles of manufacture for preparing a tax return in which tax questions may be generated and presented to a user in an ad hoc manner. A tax system includes a computing device executing a tax program. The tax program can display a plurality of user interface presentations, such as interview or question screens, with tax questions asking the user to provide tax data related to a taxpayer for preparing a tax return for the taxpayer. The tax program allows the user to skip a tax question on a user interface presentation, and proceed with subsequent user interface presentations. When the tax program determines that a response to the skipped tax questions is required, the tax program dynamically generates a skipped tax question user interface presentation with the skipped tax question and presents it to the user.

Abstract: Embodiments presented herein provide an editing tool for domain-specific machine-readable objects. The editing tool identifies a domain-specific machine-readable object selected for editing. The object corresponds to a page included in a sequence of pages and is configured to adjust content for the page based on variables. One or more previous pages in the sequence are configured to solicit input to define the variables. The editing tool also identifies a scenario selected for previewing the page. The scenario includes values for the variables. Assets of the object reference the variables in expressions or other logic. The editing tool renders the object based on the scenario.