公开(公告)号：US11630952B2

公开(公告)日：2023-04-18

申请号：US16518894

申请日：2019-07-22

Applicant: Adobe Inc.

Inventor： Sean MacAvaney ,  Franck Dernoncourt ,  Walter Chang ,  Seokhwan Kim ,  Doo Soon Kim ,  Chen Fang

IPC: G06F17/15 ,  G06F17/16 ,  G06N3/045 ,  G06V10/80 ,  G06V10/82 ,  G06F40/279 ,  G06F18/2431 ,  G06V10/764 ,  G06V10/70

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that can classify term sequences within a source text based on textual features analyzed by both an implicit-class-recognition model and an explicit-class-recognition model. For example, by applying machine-learning models for both implicit and explicit class recognition, the disclosed systems can determine a class corresponding to a particular term sequence within a source text and identify the particular term sequence reflecting the class. The dual-model architecture can equip the disclosed systems to apply (i) the implicit-class-recognition model to recognize implicit references to a class in source texts and (ii) the explicit-class-recognition model to recognize explicit references to the same class in source texts.

公开(公告)号：US20210027141A1

公开(公告)日：2021-01-28

申请号：US16518894

申请日：2019-07-22

Applicant: Adobe Inc.

Inventor： Sean MacAvaney ,  Franck Dernoncourt ,  Walter Chang ,  Seokhwan Kim ,  Doo Soon Kim ,  Chen Fang

IPC: G06N3/04 ,  G06K9/62 ,  G06F17/16 ,  G06F17/15

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that can classify term sequences within a source text based on textual features analyzed by both an implicit-class-recognition model and an explicit-class-recognition model. For example, by applying machine-learning models for both implicit and explicit class recognition, the disclosed systems can determine a class corresponding to a particular term sequence within a source text and identify the particular term sequence reflecting the class. The dual-model architecture can equip the disclosed systems to apply (i) the implicit-class-recognition model to recognize implicit references to a class in source texts and (ii) the explicit-class-recognition model to recognize explicit references to the same class in source texts.