公开(公告)号：US10963627B2

公开(公告)日：2021-03-30

申请号：US16005217

申请日：2018-06-11

Applicant: Adobe Inc.

Inventor： Anandhavelu N ,  Padmanabhan Anandan ,  Niyati Chhaya ,  Cedric Huesler ,  Balaji Vasan Srinivasan ,  Atanu R Sinha

IPC: G06F40/166 ,  G06F3/0482 ,  G06N20/00 ,  G06F40/20

Abstract: This disclosure relates to methods, non-transitory computer readable media, and systems that, based on a sparse textual segment, can use machine learning models to generate document variants that are both conforming to digital content guidelines and uniquely tailored for distribution to client devices of specific audiences via specific delivery channels. To create such variants, in some embodiments, the methods, non-transitory computer readable media, and systems generate suggested modifications to a draft document that correspond to features of content-guideline-conforming documents. Additionally, or alternatively, in certain implementations, the disclosed methods, non-transitory computer readable media, and systems generate suggested modifications to a draft document that correspond to features of audience-channel-specific documents.

公开(公告)号：US20200320165A1

公开(公告)日：2020-10-08

申请号：US16376906

申请日：2019-04-05

Applicant: Adobe Inc.

Inventor： Balaji Vasan Srinivasan ,  Surya S. Dwivedi ,  Rohan Kumar ,  Pranav Ravindra Maneriker ,  Paridhi Maheshwari ,  Nitish Bansal

IPC: G06F17/24 ,  G06F17/21 ,  G06T7/11 ,  G06T11/60

Abstract: A method includes extracting a set of segments located in a reference single page graphic image. A first segment overlaps with a second segment of the set of segments. The method includes identifying a plurality of bounding areas within the reference single page graphic image. Each segment of the set of segments is associated with a bounding area of the plurality of bounding areas. The plurality of bounding areas includes a first bounding area and a second bounding area, the first bounding area overlapping with the second bounding area. The method includes generating an editable template including a set of editable fields. The set of editable fields is determined based upon the plurality of bounding areas in the reference single page graphic image. A position of an editable field in the editable template is based upon a position in the reference single page graphic image of a corresponding bounding area.

公开(公告)号：US20200081964A1

公开(公告)日：2020-03-12

申请号：US16123966

申请日：2018-09-06

Applicant: Adobe Inc.

Inventor： Pranav Ravindra Maneriker ,  Vishwa Vinay ,  Sopan Khosla ,  Niyati Himanshu Chhaya ,  Natwar Modani ,  Cedric Huesler ,  Balaji Vasan Srinivasan ,  Anandha velu Natarajan

IPC: G06F17/24 ,  G06F17/27 ,  G06F17/21 ,  G06F15/18

Abstract: A fact replacement and style consistency tool is described. Rather than rely heavily on human involvement to replace facts and maintain consistent styles across multiple digital documents, the described change management system identifies factual and stylistic inconsistencies between these documents, in part, using natural language processing techniques. Once these inconsistencies are identified, the change management system generates a user interface that includes indications of the inconsistencies and information describing them, e.g., an indication noting not only a type of inconsistency but also presenting a first portion and at least a second portion of the multiple documents that are factually inconsistent. By automatically identifying these factual and stylistic inconsistencies across multiple documents and presenting indications of such cross-document inconsistencies, the described change management system eliminates human errors in connection with maintaining factual and stylistic consistency over a body of documents.

公开(公告)号：US20200004804A1

公开(公告)日：2020-01-02

申请号：US16025140

申请日：2018-07-02

Applicant: Adobe Inc.

Inventor： Balaji Vasan Srinivasan ,  Vishwa Vinay ,  Niyati Chhaya ,  Cedric Huesler

IPC: G06F17/21 ,  G06F17/24

Abstract: The present disclosure includes systems, methods, and non-transitory computer readable media that utilize a genetic framework to generate enhanced digital layouts from digital content fragments. In particular, in one or more embodiments, the disclosed systems iteratively generate a layout chromosome of digital content fragments, determine a fitness level of the layout chromosome, and mutate the layout chromosome until converging to an improved fitness level. The disclosed systems can efficiently utilize computing resources to generate a digital layout from a layout chromosome that is optimized to specified platforms, distribution audiences, and target optimization goals.

公开(公告)号：US20190266228A1

公开(公告)日：2019-08-29

申请号：US16407596

申请日：2019-05-09

Applicant: Adobe Inc.

Inventor： Saumitra Sharma ,  Kundan Krishna ,  Balaji Vasan Srinivasan ,  Aniket Murhekar

IPC: G06F17/22 ,  G06N20/00 ,  G06F17/27

Abstract: A targeted summary of textual content tuned to a target audience vocabulary is generated in a digital medium environment. A word generation model obtains textual content, and generates a targeted summary of the textual content. During the generation of the targeted summary, the words of the targeted summary generated by the word generation model are tuned to the target audience vocabulary using a linguistic preference model. The linguistic preference model is trained, using machine learning on target audience training data corresponding to a corpus of text of the target audience vocabulary, to learn word preferences of the target audience vocabulary between similar words (e.g., synonyms). After each word is generated using the word generation model and the linguistic preference model, feedback regarding the generated word is provided back to the word generation model. The feedback is utilized by the word generation model to generate subsequent words of the summary.