Abstract: Automatic generation of a chat bot from an API specification to carry out a dialogue with a user and invoke an API call described in the API specification. Based on input API specification, a conversational bot specification representing a dialog flow is constructed. A natural language expression is received and transformed into instructions based on the conversational bot specification. Based on the instructions, a natural language prompt to the user and executable computer code for invoking the API call may be generated.

Abstract: Automatic generation of a chat bot from an API specification to carry out a dialogue with a user and invoke an API call described in the API specification. Based on input API specification, a conversational bot specification representing a dialog flow is constructed. A natural language expression is received and transformed into instructions based on the conversational bot specification. Based on the instructions, a natural language prompt to the user and executable computer code for invoking the API call may be generated.

Abstract: Automatic generation of a chat bot from an API specification to carry out a dialog with a user and invoke an API call described in the API specification. Based on input API specification, a conversational bot specification representing a dialog flow is constructed. A natural language expression is received and transformed into instructions based on the conversational bot specification. Based on the instructions, a natural language prompt to the user and executable computer code for invoking the API call may be generated.

Abstract: Automatic generation of a chat bot from an API specification to carry out a dialogue with a user and invoke an API call described in the API specification. Based on input API specification, a conversational bot specification representing a dialog flow is constructed. A natural language expression is received and transformed into instructions based on the conversational bot specification. Based on the instructions, a natural language prompt to the user and executable computer code for invoking the API call may be generated.

Abstract: A factored multimodal interaction architecture for a distributed computing system is disclosed. The distributed computing system includes a plurality of clients and at least one application server that can interact with the clients via a plurality of interaction modalities. The factored architecture includes an interaction manager with a multimodal interface, wherein the interaction manager can receive a client request for a multimodal application in one interaction modality and transmit the client request in another modality, a browser adapter for each client browser, where each browser adapter includes the multimodal interface, and one or more pluggable synchronization modules.

Abstract: A factored multimodal interaction architecture for a distributed computing system is disclosed. The distributed computing system includes a plurality of clients and at least one application server that can interact with the clients via a plurality of interaction modalities. The factored architecture includes an interaction manager with a multimodal interface, wherein the interaction manager can receive a client request for a multimodal application in one interaction modality and transmit the client request in another modality, a browser adapter for each client browser, where each browser adapter includes the multimodal interface, and one or more pluggable synchronization modules.

Abstract: A method for managing dialogue interaction includes generating a hierarchical tree representation of a set of hierarchical data entities, and identifying a leaf node in the hierarchical tree representation. A system for managing dialogue interaction includes a hierarchical data format having a plurality of hierarchical data entities, and a dialogue interaction manager that manages a dialogue with a user based upon the hierarchical data format.