Abstract: A service identifies a level of specificity of one or more identified entities in a user input comprising a query, within one of multiple levels of a hierarchy of a hierarchical coding system. Responsive to determining that additional levels of specificity beyond the identified level of specificity are recommended to return a minimum answer set to the query, the service returns one or more answers requesting one or more additional inputs refining the query based on one or more values identified in a next level. Responsive to determining that no additional levels of specificity beyond the identified level of specificity are recommended to return the minimum answer set to the query, the service returns an answer set comprising a selection of information for the current level of specificity from an ingested corpus of knowledge mapped to the hierarchical coding system.

Abstract: A service identifies a level of specificity of one or more identified entities in a user input comprising a query, within one of multiple levels of a hierarchy of a hierarchical coding system. Responsive to determining that additional levels of specificity beyond the identified level of specificity are recommended to return a minimum answer set to the query, the service returns one or more answers requesting one or more additional inputs refining the query based on one or more values identified in a next level. Responsive to determining that no additional levels of specificity beyond the identified level of specificity are recommended to return the minimum answer set to the query, the service returns an answer set comprising a selection of information for the current level of specificity from an ingested corpus of knowledge mapped to the hierarchical coding system.

Abstract: A computer-implemented method for vehicle to vehicle messaging. The method captures a voice command of a user in a first vehicle, and extracts an intent, a target recipient, and a message payload from the captured voice command of the user, using natural language processing. The method further analyzes video content from one or more cameras of the first vehicle, and identifies the target recipient relevant to the captured voice command, based on the analyzed video content. The method further transmits the message payload to the identified target recipient based on the extracted intent. In one embodiment, the message payload is transmitted to the target recipient via peer-to-peer communication, together with one or more segments of the analyzed video content and is displayed on a user interface of the identified target recipient.

Abstract: A retraining service accesses conversational logs, each of the conversational logs recording a separate conversation, between a separate user and a conversational service, and at least one outcome identified with the separate conversation. The retraining service assess, from the conversational logs, at least one conversation gap and response with the at least one outcome matching a type of outcome that indicates the response impacted user experience in a negative way from among types of outcomes. The retraining service evaluates one or more recommendations for retraining the response to promote a positive type of outcome from among the types of outcomes. The retraining service outputs the one or more recommendations to the conversational service for directing retraining of the response by the conversational service.

Abstract: Intent-based exploring of self-documenting Application Programming Interface (“API”) documents comprises receiving a document containing a plurality of descriptions of APIs, wherein the document is in a structured format; generating a plurality of entities by identifying a plurality of API definition entries in the document; generating a plurality of intents by iterating through a plurality of path entries in the document; generating a dialog by creating a plurality of phrases by iterating through the plurality of path entries in the document; receiving one or more questions from a user or developer; and in response to the one or more questions, providing one or more conversational responses to the user by a conversational application program incorporating the plurality of entities, plurality of intents, and plurality of phrases.

Abstract: Intent-based exploring of self-documenting Application Programming Interface (“API”) documents comprises receiving a document containing a plurality of descriptions of APIs, wherein the document is in a structured format; generating a plurality of entities by identifying a plurality of API definition entries in the document; generating a plurality of intents by iterating through a plurality of path entries in the document; generating a dialog by creating a plurality of phrases by iterating through the plurality of path entries in the document; receiving one or more questions from a user or developer; and in response to the one or more questions, providing one or more conversational responses to the user by a conversational application program incorporating the plurality of entities, plurality of intents, and plurality of phrases.

Abstract: Intent-based exploring of self-documenting Application Programming Interface (“API”) documents comprises receiving a document containing a plurality of descriptions of APIs, wherein the document is in a structured format; generating a plurality of entities by identifying a plurality of API definition entries in the document; generating a plurality of intents by iterating through a plurality of path entries in the document; generating a dialog by creating a plurality of phrases by iterating through the plurality of path entries in the document; receiving one or more questions from a user or developer; and in response to the one or more questions, providing one or more conversational responses to the user by a conversational application program incorporating the plurality of entities, plurality of intents, and plurality of phrases.

Abstract: Intent-based exploring of self-documenting Application Programming Interface (“API”) documents comprises receiving a document containing a plurality of descriptions of APIs, wherein the document is in a structured format; generating a plurality of entities by identifying a plurality of API definition entries in the document; generating a plurality of intents by iterating through a plurality of path entries in the document; generating a dialog by creating a plurality of phrases by iterating through the plurality of path entries in the document; receiving one or more questions from a user or developer; and in response to the one or more questions, providing one or more conversational responses to the user by a conversational application program incorporating the plurality of entities, plurality of intents, and plurality of phrases.

Abstract: A computer-implemented method for vehicle to vehicle messaging. The method captures a voice command of a user in a first vehicle, and extracts an intent, a target recipient, and a message payload from the captured voice command of the user, using natural language processing. The method further analyzes video content from one or more cameras of the first vehicle, and identifies the target recipient relevant to the captured voice command, based on the analyzed video content. The method further transmits the message payload to the identified target recipient based on the extracted intent. In one embodiment, the message payload is transmitted to the target recipient via peer-to-peer communication, together with one or more segments of the analyzed video content and is displayed on a user interface of the identified target recipient.

Abstract: A retraining service accesses conversational logs, each of the conversational logs recording a separate conversation, between a separate user and a conversational service, and at least one outcome identified with the separate conversation. The retraining service assess, from the conversational logs, at least one conversation gap and response with the at least one outcome matching a type of outcome that indicates the response impacted user experience in a negative way from among types of outcomes. The retraining service evaluates one or more recommendations for retraining the response to promote a positive type of outcome from among the types of outcomes. The retraining service outputs the one or more recommendations to the conversational service for directing retraining of the response by the conversational service.

Abstract: Methods, systems, and computer program products for implementing a real-time, user configurable, debugging framework for use in debugging applications. A method includes executing an application on a computer, the application comprising a plurality of instructions including a debug macro instruction. The debug macro instruction is associated with a set of parameters for describing one or both of system and application conditions. The method also includes specifying one or more trigger criteria, the trigger criteria comprising a set of dynamic values for the set of parameters. The method further performing, while the application is executing, executing the debug macro instruction, detecting whether the trigger criteria have been met by the application, the detecting in response to executing the debug macro instruction, and upon detecting that the trigger criteria have been met, initiating a debugging session in response to the detecting.

Abstract: Methods, systems, and computer program products for implementing a real-time, user configurable, debugging framework for use in debugging applications. A method includes executing an application on a computer, the application comprising a plurality of instructions including a debug macro instruction. The debug macro instruction is associated with a set of parameters for describing one or both of system and application conditions. The method also includes specifying one or more trigger criteria, the trigger criteria comprising a set of dynamic values for the set of parameters. The method further performing, while the application is executing, executing the debug macro instruction, detecting whether the trigger criteria have been met by the application, the detecting in response to executing the debug macro instruction, and upon detecting that the trigger criteria have been met, initiating a debugging session in response to the detecting.