International Business Machines Corporation
Rich descriptor framework to text generation using graphs and structural neural encoders
Last updated:
Abstract:
Technology for using a bi-directed graph convolutional neural network ("BGCNN") to convert RDF data into natural language text. Some embodiments perform RDF-to-Text generation by learning graph-augmented structural neural encoders, consisting of: (a) bidirected graph-based meta-paths encoder; (b) bidirected graph convolutional networks encoder, and (c) separated attention mechanism for combining encoders and decoder to translate RDF triplets to natural language description.
Status:
Grant
Type:
Utility
Filling date:
2 Jul 2020
Issue date:
3 May 2022