Disclosed herein are embodiments for a visual bot builder. An embodiment operates by receiving a selected dialog including one or more interactions between a chat bot and a recipient. A plurality phrases corresponding to triggering an execution of the selected dialog is received. The selected dialog is configured such that upon a receipt of one or more of the plurality of phrases, the chat bot executes the selected dialog. One of the plurality of phrases is received. The selected dialog is executed responsive to the received one of the plurality of phrases.

Intent interpreter for a visual bot builder

A service descriptor file is retrieved from a remote database by a server, where the service descriptor file describes a service corresponding to a service-specific chatbot requested by a user. The received service descriptor is parsed to obtain a capability and relevant service data associated with the service. The service-specific chatbot is generated with at least one object that is based on the obtained capability and relevant service data, where the at least one object includes intents, expressions, and skills that correspond to the service. The generated service-specific chatbot is provided to the user through at least one channel to enable an interaction with the service-specific chatbot with a graphical user interface.

Automatic development of a service-specific chatbot

Disclosed herein are embodiments for a visual bot builder. An embodiment operates by visually displaying, within a user interface, a plurality of selectable chat bot functions associated with a first dialog. A first selection of one of the bot functions is received. It is determined that the first selection corresponds to calling a selectable second dialog from a one or more previously configured dialogs. A link to the one or more selectable previously configured dialogs is provided and a second selection of one of the previously configured dialogs is received as the second dialog. The execution of the first dialog is linked to an execution of the second dialog. A preview of the execution of the first dialog including the second dialog is provided.

Dialog reuse for a visual bot builder

A method for providing a bot builder user interface by a bot builder user interface providing apparatus includes providing a developer device with a bot builder user interface (UI) for producing a chatbot; if at least one sentence is input from the developer device, providing multiple parameters including attribute information regarding respective words included in the at least one sentence; and receiving, from the developer device, grouping information regarding two or more parameters selected from the multiple parameters, wherein the chatbot produced by the developer device is accessible by a user device connecting with a chatbot service server, and if at least one of the two or more grouped parameters is extracted from a sentence of a chat message input by the user device, the chatbot executes a predetermined instruction with reference to the extracted parameter.

Chatbot builder user interface

An example system including a processing resource and a memory resource. The memory resource may store machine-readable instructions to cause the processing resource to, responsive to receiving an input at a chatbot, parse a documentation configuration reference of an API for a regular expression, declared in the API documentation configuration reference, matching a portion of the input. The memory resource may store machine-readable instructions to cause the processing resource to execute an action according to a mapping declared by the documentation configuration reference of the API as corresponding to the regular expression matching the portion of the input.

Application program interface documentations

Method and system are provided for generating a chatbot interface for an application programming interface (API) that interacts with networked applications. The method may include: receiving as an input a definition document for an API that interacts with networked applications and parsing the definition document to identify intents and entities and obtain examples of the identified intents and entities. The method may convert the definition document to a chatbot data structure including: extracting the intents and entities and their relationship to objects and fields in the API from the definition document; and training the chatbot data structure with the example intents and entities to generate a conversation specification in the chatbot data structure. The method may then generate a chatbot interface for the API.

Hisham Jafar Ali

Papers

Generation of a chatbot interface for an application programming interface