Abstract: Various embodiments are described for searching and retrieving documents based on a natural language input. A computer-implemented natural language processor electronically receives a natural language input phrase from an interface device. The natural language processor attributes a concept to the phrase with the natural language processor. The natural language processor searches a database for a set of documents to identify one or more documents associated with the attributed concept to be included in a response to the natural language input phrase. The natural language processor maintains the concepts during an interactive session with the natural language processor. The natural language processor resolves ambiguous input patterns in the natural language input phrase with the natural language processor. The natural language processor includes a processor, a memory and/or storage component, and an input/output device.

Abstract: A conversation user interface enables patients to better understand their healthcare by integrating diagnosis, treatment, medication management, and payment, through a system that uses a virtual assistant to engage in conversation with the patient. The conversation user interface conveys a visual representation of a conversation between the virtual assistant and the patient. An identity of the patient, including preferences and medical records, is maintained throughout all interactions so that each aspect of this integrated system has access to the same information. The conversation user interface presents allows the patient to interact with the virtual assistant using natural language commands to receive information and complete task related to his or her healthcare.

Abstract: Systems and methods for handling information communicated by voice. The method may comprise: (i) receiving a call from a caller, the call comprising utterances from the caller; (ii) verbally communicating information to the caller through a customer service representative, the agent interacting with a display; (iii) processing the utterances with a computing device; (iv) determining content of the utterances; and (v) displaying information on the display based on the content.

Abstract: A conversation user interface enables users to better understand their interactions with computing devices, particularly when speech input is involved. The conversation user interface conveys a visual representation of a conversation between the computing device, or virtual assistant thereon, and a user. The conversation user interface presents a series of dialog representations that show input from a user (verbal or otherwise) and responses from the device or virtual assistant. Associated with one or more of the dialog representations are one or more graphical elements to convey assumptions made to interpret the user input and derive an associated response. The conversation user interface enables the user to see the assumptions upon which the response was based, and to optionally change the assumption(s). Upon change of an assumption, the conversation GUI is refreshed to present a modified dialog representation of a new response derived from the altered set of assumptions.

Abstract: Virtual assistants intelligently emulate a representative of a service provider by providing variable responses to user queries received via the virtual assistants. These variable responses may take the context of a user's query into account both when identifying an intent of a user's query and when identifying an appropriate response to the user's query.

Abstract: A software-based security agent that hooks into the operating system of a computer device in order to continuously audit the behavior and conduct of the end user of the computer device. The detected actions of the end user can be stored in a queue or log file that can be continuously monitored to detect patterns of behavior that may constitute a policy violation and/or security risk. When a pattern of behavior that may constitute a policy violation and/or security risk is detected, an event may be triggered. A frequency vector string matching algorithm also is disclosed. The frequency vector string matching algorithm may be used to detect the presence or partial presence of subject strings within a target string of alphanumeric characters. The frequency vector string matching algorithm could be used to detect typos in stored computer records or to search for records based on partial information.

Abstract: Systems and methods are disclosed which allow for changes to be made to an existing order using an automated system. A user may interact with an automated agent using any communication modality that generally emulates an interaction with a human customer service representative. Should the interaction exceed a predefined level of complexity, or meet other criteria, the user may be routed to a human customer service representative.

Abstract: Various embodiments provide a state-based, regular expression parser in which data, such as generally unstructured text, is received into the system and undergoes a tokenization process which permits structure to be imparted to the data. Tokenization of the data effectively enables various patterns in the data to be identified. In some embodiments, one or more components can utilize stimulus/response paradigms to recognize and react to patterns in the data.

Abstract: Various embodiments are described which leverage techniques for breaking down critical ideas from an inputted phrase into concepts in order to provide a response that is more relevant to the inputted phrase. In this regard, concepts and/or concept patterns are utilized with information retrieval searching to provide more relevant and concise documents in response to an inputted phrase. In addition, concepts and/or concept patterns are utilized with respect to assessing information (e.g., documents) available in a knowledge base and building appropriate pre-defined responses to an inputted phrase.

Abstract: Various embodiments provide a state-based, regular expression parser in which data, such as generally unstructured text, is received into the system and undergoes a tokenization process which permits structure to be imparted to the data. Tokenization of the data effectively enables various patterns in the data to be identified. In some embodiments, one or more components can utilize stimulus/response paradigms to recognize and react to patterns in the data.

Abstract: Network and computer use policy is enforced by employing client-side systems that analyze data usage at the client in terms of what the data is, who is using the data, and the context of the data, and then make an intelligent decision on what action(s) to take responsive to the analysis that is performed. Such systems and related methods can protect organizational resources from inappropriate activities that originate from within the organization.

Abstract: Various embodiments provide a state-based, regular expression parser in which data, such as generally unstructured text, is received into the system and undergoes a tokenization process which permits structure to be imparted to the data. Tokenization of the data effectively enables various patterns in the data to be identified. In some embodiments, one or more components can utilize stimulus/response paradigms to recognize and react to patterns in the data.