Abstract: A system for natural language analytics, stored and operating on a network-connected computing device, comprising a natural language application data importer, further comprising a natural language application data importer, a natural language application data augmenter that enriches the data and an analytics component which provides a means of querying structured as well as unstructured data and which also contains a method for providing adaptive natural language analytics.

Abstract: A system for natural language analytics, stored and operating on a network-connected computing device, comprising a natural language application data importer, further comprising a natural language application data importer, a natural language application data augmenter that enriches the data and an analytics component which provides a means of querying structured as well as unstructured data and which also contains a method for providing adaptive natural language analytics.

Abstract: An apparatus that includes a conduit having a first end, a second end, and a longitudinal axis. The conduit may define an inner channel and may be configured to extend through a vane cavity of a vane. The apparatus may further include a damping finger that includes a first portion coupled to the conduit and a second portion diverging outward at an angled orientation from the conduit. The damping finger may be resiliently flexible and the second portion of the damping finger may be configured to contact an inner surface of the vane.

Abstract: A system for natural language analytics, stored and operating on a network-connected computing device, comprising a natural language application data importer, further comprising a natural language application data importer, a natural language application data augmenter that enriches the data and an analytics component which provides a means of querying structured as well as unstructured data and which also contains a method for providing adaptive natural language analytics.

Abstract: An apparatus that includes a conduit having a first end, a second end, and a longitudinal axis. The conduit may define an inner channel and may be configured to extend through a vane cavity of a vane. The apparatus may further include a damping finger that includes a first portion coupled to the conduit and a second portion diverging outward at an angled orientation from the conduit. The damping finger may be resiliently flexible and the second portion of the damping finger may be configured to contact an inner surface of the vane.

Abstract: A system for natural language analytics, stored and operating on a network-connected computing device, comprising a natural language application data importer, further comprising a natural language application data importer, a natural language application data augmenter that enriches the data and an analytics component which provides a means of querying structured as well as unstructured data and which also contains a method for providing adaptive natural language analytics.

Abstract: A system for the operation of a virtual assistant network, comprising a plurality of virtual assistants stored and operating on network-connected devices, and a plurality of virtual assistant brokers stored and operating on network-connected devices, wherein the virtual assistants receive user requests and send the requests to the virtual assistant brokers, and wherein the virtual assistant brokers delegate the requests to other virtual assistants for fulfillment.

Abstract: A system for supervised automatic code generation and tuning for natural language interaction applications, comprising a build environment comprising a developer user interface, automated coding tools, automated testing tools, and automated optimization tools, and an analytics framework software module. Text samples are imported into the build environment and automated clustering is performed to assign them to a plurality of input groups, each input group comprising a plurality of semantically related inputs. Language recognition rules are generated by automated coding tools. Automated testing tools carry out automated testing of language recognition rules and generate recommendations for tuning language recognition rules. The analytics framework performs analysis of interaction log files to identify problems in a candidate natural language interaction application.

Abstract: A system for supervised automatic code generation and tuning for natural language interaction applications, comprising a build environment comprising a developer user interface, automated coding tools, automated testing tools, and automated optimization tools, and an analytics framework software module. Text samples are imported into the build environment and automated clustering is performed to assign them to a plurality of input groups, each input group comprising a plurality of semantically related inputs. Language recognition rules are generated by automated coding tools. Automated testing tools carry out automated testing of language recognition rules and generate recommendations for tuning language recognition rules. The analytics framework performs analysis of interaction log files to identify problems in a candidate natural language interaction application.

Abstract: A system for the operation of a virtual assistant network, comprising a plurality of virtual assistants stored and operating on network-connected devices, and a plurality of virtual assistant brokers stored and operating on network-connected devices, wherein the virtual assistants receive user requests and send the requests to the virtual assistant brokers, and wherein the virtual assistant brokers delegate the requests to other virtual assistants for fulfillment.

Abstract: A system for supervised automatic code generation and tuning for natural language interaction applications, comprising a build environment comprising a developer user interface, automated coding tools, automated testing tools, and automated optimization tools, and an analytics framework software module. Text samples are imported into the build environment and automated clustering is performed to assign them to a plurality of input groups, each input group comprising a plurality of semantically related inputs. Language recognition rules are generated by automated coding tools. Automated testing tools carry out automated testing of language recognition rules and generate recommendations for tuning language recognition rules. The analytics framework performs analysis of interaction log files to identify problems in a candidate natural language interaction application.

Abstract: A system for supervised automatic code generation and tuning for natural language interaction applications, comprising a build environment comprising a developer user interface, automated coding tools, automated testing tools, and automated optimization tools, and an analytics framework software module. Text samples are imported into the build environment and automated clustering is performed to assign them to a plurality of input groups, each input group comprising a plurality of semantically related inputs. Language recognition rules are generated by automated coding tools. Automated testing tools carry out automated testing of language recognition rules and generate recommendations for tuning language recognition rules. The analytics framework performs analysis of interaction log files to identify problems in a candidate natural language interaction application.

Abstract: A system for delivering advanced natural language interaction applications, comprising a dialog interface module, a natural language interaction engine, a solution data repository component operating comprising at least one domain model, at least one language model, and a plurality of flow elements and rules for managing interactions with users, and an interface software module. Upon receipt of a request from a user via a network, the dialog interface module preprocesses the request and transmits it to the natural language interaction engine. The natural language interaction engine interprets the request using a plurality of language recognition rules stored in the solution data repository, and based at least determined semantic meaning or user intent, the natural language interaction engine forms an appropriate response and delivers the response to the user via the dialog module, or takes an appropriate action based on the request.