公开(公告)号：US20210142005A1

公开(公告)日：2021-05-13

申请号：US17094278

申请日：2020-11-10

Applicant: SRI International

Inventor： Natarajan Shankar ,  Stephane Graham-Lengrand ,  Daniel Elenius ,  Chih-hung Yeh

IPC: G06F40/211 ,  G06F40/253 ,  G06F40/279 ,  G06N7/00 ,  G06N20/20

Abstract: In general, the disclosure describes techniques for machine learning for translation to structured computer readable representation. An example method to generate a training set for a natural language translation model includes receiving, by a computing system, a grammar comprising rules, one or more of the rules being associated with random biases; generating, by the computing system, at least one of random trees or random graphs based on the random biases in the grammar; for each of the random trees or random graphs, by the computing system, generating a natural language sample; and generating, by the computing system, the training set with the random trees or random graphs and the corresponding natural language samples.