Publication number: 20250068627
Abstract: Techniques are disclosed herein for transforming natural language conversations into a visual output. In one aspect, a computer-implement method includes generating an input string by concatenating a natural language utterance with a schema representation comprising a set of entities for visualization actions, generating, by a first encoder of a machine learning model, one or more embeddings of the input string, encoding, by a second encoder of the machine learning model, relations between elements in the schema representation and words in the natural language utterance based on the one or more embeddings, generating, by a grammar-based decoder of the machine learning model and based on the encoded relations and the one or more embeddings, an intermediate logical form that represents at least the query, the one or more visualization actions, or the combination thereof, and generating, based on the intermediate logical form, a command for a computing system.
Type:
Application
Filed:
March 26, 2024
Publication date:
February 27, 2025
Applicant:
Oracle International Corporation
Inventors:
Cong Duy Vu Hoang, Gioacchino Tangari, Stephen Andrew McRitchie, Nitika Mathur, Aashna Devang Kanuga, Steve Wai-Chun Siu, Dalu Guo, Chang Xu, Mark Edward Johnson, Christopher Mark Broadbent, Thanh Long Duong, Srinivasa Phani Kumar Gadde, Vishal Vishnoi, Chandan Basavaraju, Kenneth Khiaw Hong Eng