Abstract meaning representation parsing with graph translation

Lingfei Wu (Inventor), Xiong Jinjun (Inventor), Hongyu Gong (Inventor), Suma P Bhat (Inventor), Wen-Mei W. Hwu (Inventor)

Research output: Patent

Abstract

A computer-implemented method for generating an abstract meaning representation (“AMR”) of a sentence, comprising receiving, by a computing device, an input sentence and parsing the input sentence into one or more syntactic and/or semantic graphs. An input graph including a node set and an edge set is formed from the one or more syntactic and/or semantic graphs. Node representations are generated by natural language processing. The input graph is provided to a first neural network to provide an output graph having learned node representations aligned with the node representations in the input graph. The method further includes predicting via a second neural network, node label and predicting, via a third neural network, edge labels in the output graph. The AMR is generated based on the predicted node labels and predicted edge labels. A system and a non-transitory computer readable storage medium are also disclosed.
Original languageEnglish (US)
U.S. patent number11704486
Filing date12/1/20
StatePublished - Jul 18 2023

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