公开(公告)号：US20230141448A1

公开(公告)日：2023-05-11

申请号：US17522790

申请日：2021-11-09

Applicant: Adobe Inc.

Inventor： Suryateja BV ,  Vishwa VINAY ,  Niyati Himanshu CHHAYA ,  Navita GOYAL ,  Elaine CHAO ,  Balaji Vasan SRINIVASAN ,  Aparna GARIMELLA

IPC: G06F40/194 ,  G06F16/93 ,  G06F16/901 ,  G06F40/14

CPC classification number: G06F40/194 ,  G06F16/93 ,  G06F16/9027 ,  G06F40/14

Abstract: Embodiments are disclosed for generating an intelligent change summary are described. In some embodiments, a method of generating an intelligent change summary includes obtaining a representation of a plurality of versions of a document, determining a distance score based on a comparison of a first of version of the document and a second version of the document, the distance score representing a magnitude of changes made from the first version of the document to the second version of the document, and generating a change summary of the document based on the distance score.

公开(公告)号：US20250165703A1

公开(公告)日：2025-05-22

申请号：US18511111

申请日：2023-11-16

Applicant: Adobe Inc.

Inventor： Shwetha S ,  Jayant Vaibhav SRIVASTAVA ,  Dinesh AGARWAL ,  Aparna GARIMELLA ,  Anandhavelu N

IPC: G06F40/174 ,  G06F40/109 ,  G06F40/40

Abstract: Embodiments are disclosed for merging misidentified text structures. The method may include receiving a document including a plurality of text elements. The method may further include determining, by a machine learning model, a likelihood of merging a first text element of the plurality of text elements with a second text element of the plurality of text elements based on structure data and context data associated with the first and second text elements. The method may further include determining whether the likelihood of merging the first text element with the second text element satisfies a threshold. The method further includes responsive to determining that the likelihood of merging the first text element with the second text element satisfies the threshold, merging the first text element with the second text element.

公开(公告)号：US20250165517A1

公开(公告)日：2025-05-22

申请号：US18511186

申请日：2023-11-16

Applicant: Adobe Inc.

Inventor： Inderjeet NAIR ,  Sumit SHEKHAR ,  Srikrishna KARANAM ,  Niyati Himanshu CHHAYA ,  Natwar MODANI ,  Balaji Vasan SRINIVASAN ,  Aparna GARIMELLA

IPC: G06F16/34 ,  G06F16/31

Abstract: Embodiments are disclosed for a digital design system trained to segment unstructured text into topically coherent segments. The method may include receiving unstructured text, the unstructured text including a sequence of sentences. The disclosed systems and methods further comprise generating, by a neural network, a hierarchically segmented tree structure representing the unstructured text. The tree structure comprises a plurality of tree structure nodes, where a node of the tree structure nodes represents a sentence from the sequence of sentences. The segments and sub-segments of the unstructured text can then be determined based on node data for nodes of the hierarchically segmented tree structure. Using the determined segments and sub-segments of the unstructured text, a modified representation of the unstructured text can be displayed.