Nvidia Corporation

Shubhadeep Das

Ratin Kumar

Sumit Bhattacharya

Sumit Kumar Bhattacharya

Niranjan Avadhanam

Yuzhuo Ren

Sakthivel Sivaraman

Nishant Puri

Atousa Torabi

Jason Conrad Roche

Oluwatobi Olabiyi

Zhilin Wang

Yi-Hui Lee

In various examples, a technique for slot filling includes receiving a natural language sentence from a user and identifying a first mention span included in the natural language sentence. The technique also includes determining, using a first machine learning model, that the first mention span is associated with a first slot class included in a set of slot classes based on a set of slot class descriptions corresponding to the set of slot classes.

Slot filling using a zero shot model for conversational AI systems and applications

Interactions with virtual systems may be difficult when users inadvertently fail to provide sufficient information to proceed with their requests. Certain types of inputs, such as auditory inputs, may lack sufficient information to properly provide a response to the user. Additional information, such as image data, may enable user gestures or poses to supplement the auditory inputs to enable response generation without requesting additional information from users.

Multi-modal sensor fusion for content identification in applications of human-machine interfaces

In various examples, systems and methods of the present disclosure combine open and closed dialog systems into an intelligent dialog management system. A text query may be processed by a natural language understanding model trained to associate the text query with a domain tag, intent classification, and/or input slots. Using the domain tag, the natural language understanding model may identify information in the text query corresponding to input slots needed for answering the text query. The text query and related information may then be passed to a dialog manager to direct the text query to the proper domain dialog system. Responses retrieved from the domain dialog system may be provided to the user via text output and/or via a text to speech component of the dialog management system.

Using a natural language model to interface with a closed domain system

Conversational AI platforms with closed domain and open domain dialog integration

Growing community of inventors

Maharashtra, India

Shubhadeep Das