公开(公告)号：US20230334244A1

公开(公告)日：2023-10-19

申请号：US17724349

申请日：2022-04-19

Applicant: Adobe Inc.

Inventor： Christopher TENSMEYER ,  Danilo Neves Ribeiro ,  Varun MANJUNATHA ,  Nedim LIPKA ,  Ani NENKOVA

IPC: G06F40/284 ,  G06N20/20 ,  G06F16/2453 ,  G06F40/226

CPC classification number: G06F40/284 ,  G06N20/20 ,  G06F16/24535 ,  G06F40/226

Abstract: Embodiments are disclosed for performing fact correction of natural language sentences using data tables. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving an input sentence, tokenizing elements of the input sentence, and identifying, by a first machine learning model, a data table associated with the input sentence. The systems and methods further comprise a second machine learning model identifying a tokenized element of the input sentence that renders the input sentence false based on the data table and masking the tokenized element of the tokenized input sentence that renders the input sentence false. The systems and method further includes a third machine learning model predicting a new value for the masked tokenized element based on the input sentence with the masked tokenized element and the identified data table and providing an output including a modified input sentence with the new value.