公开(公告)号：US20220147770A1

公开(公告)日：2022-05-12

申请号：US17091403

申请日：2020-11-06

Applicant: Adobe Inc.

Inventor： Rajiv Jain ,  Varun Ion Manjunatha ,  Joseph Barrow ,  Vlad Ion Moraniu ,  Franck Dernoncourt ,  Sasha Spala ,  Nicholas Miller

IPC: G06K9/62 ,  G06K9/00 ,  G06F40/30 ,  G06F40/117

Abstract: Certain embodiments involve using a machine-learning tool to generate metadata identifying segments and topics for text within a document. For instance, in some embodiments, a text processing system obtains input text and applies a segmentation-and-labeling model to the input text. The segmentation-and-labeling model is trained to generate a predicted segment for the input text using a segmentation network. The segmentation-and-labeling model is also trained to generate a topic for the predicted segment using a pooling network of the model to the predicted segment. The output of the model is usable for generating metadata identifying the predicted segment and the associated topic.