Abstract: Interactive virtual conversation interfaces are provided herein. An example method includes receiving a digital document that has textual information, utilizing one or more forms natural language processing of the digital document, based on the nature of the digital document, to ascertain a hierarchical structure of the plain textual information, and determine topics within the plain textual information, generating a tree structure based on relationships between topics of the plain textual information, wherein the topics are arranged into the tree structure, and generating a virtual conversation interface that receives queries and presents responses to the queries using the tree structure.

Abstract: The present technology relates generally to interactive virtual conversation interfaces, and more specifically, a method for querying an interactive virtual conversation interface in natural language, comprising receiving a digital document in a system, connecting to the system having the digital document, creating named entity files within the digital document, initializing operators and intent files, processing an end user query, creating a table query statement, sending the table query statement to the system, and receiving and displaying results.

Abstract: Interactive virtual conversation interfaces are provided herein. An example method includes receiving a digital document that has textual information, utilizing one or more forms natural language processing of the digital document, based on the nature of the digital document, to ascertain a hierarchical structure of the plain textual information, and determine topics within the plain textual information, generating a tree structure based on relationships between topics of the plain textual information, wherein the topics are arranged into the tree structure, and generating a virtual conversation interface that receives queries and presents responses to the queries using the tree structure.

Abstract: In an automated method system for coordinating navigations within two or more knowledge bases that would otherwise be functionally independent, context-continuity is maintained when an automated transfer is executed from a first knowledge base to a second knowledge base. The transfer is triggered by detection that the second knowledge base has a greater relevance to the user. As a result of the context-continuity, information acquired prior to the transfer is used to achieve a partial navigation within the second knowledge base. For embodiments involving Virtual Agents, the content-continuity includes simulating a continuation of dialog despite the transfer.