公开(公告)号：US11210470B2

公开(公告)日：2021-12-28

申请号：US16368334

申请日：2019-03-28

Applicant: ADOBE INC.

Inventor： Seokhwan Kim ,  Walter W. Chang ,  Nedim Lipka ,  Franck Dernoncourt ,  Chan Young Park

IPC: G06F40/30 ,  G06N3/08

Abstract: Methods and systems are provided for identifying subparts of a text. A neural network system can receive a set of sentences that includes context sentences and target sentences that indicate a decision point in a text. The neural network system can generate context vector sentences and target sentence vectors by encoding context from the set of sentences. These context sentence vectors can be weighted to focus on relevant information. The weighted context sentence vectors and the target sentence vectors can then be used to output a label for the decision point in the text.

公开(公告)号：US20200311207A1

公开(公告)日：2020-10-01

申请号：US16368334

申请日：2019-03-28

Applicant: ADOBE INC.

Inventor： Seokhwan Kim ,  Walter W. Chang ,  Nedim Lipka ,  Franck Dernoncourt ,  Chan Young Park

IPC: G06F17/27 ,  G06N3/08

Abstract: Methods and systems are provided for identifying subparts of a text. A neural network system can receive a set of sentences that includes context sentences and target sentences that indicate a decision point in a text. The neural network system can generate context vector sentences and target sentence vectors by encoding context from the set of sentences. These context sentence vectors can be weighted to focus on relevant information. The weighted context sentence vectors and the target sentence vectors can then be used to output a label for the decision point in the text.