公开(公告)号：US20240378370A1

公开(公告)日：2024-11-14

申请号：US18316674

申请日：2023-05-12

Applicant: Adobe Inc.

Inventor： Aparna Garimella ,  Anandhavelu Natarajan ,  Abhilasha Sancheti ,  Sarthak Chauhan ,  Prateek Agarwal ,  Harshit Varma

IPC: G06F40/166 ,  G06F40/20 ,  G06F40/40 ,  G06N3/0455 ,  G06N3/0475 ,  G06N3/092

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generates a long-range event relation dataset by augmenting a digital document with a set of synthetic sentences. For example, the disclosed systems access a digital document from a short-range event relation dataset that includes an event pair. In some embodiments, the disclosed systems generate a set of synthetic sentences utilizing a generative language model for inserting within the digital document between the event pair to satisfy a long-range event relation threshold. In these or other embodiments, the disclosed systems generate a long-range event relation dataset by augmenting the digital document within the short-range event relation dataset to include the set of synthetic sentences. In certain cases, the disclosed systems generate an event relation extraction model to determine long-range event relations by learning model parameters for the event relation extraction model from the long-range event relation dataset.