公开(公告)号：US10453455B2

公开(公告)日：2019-10-22

申请号：US15820874

申请日：2017-11-22

Applicant: Adobe Inc.

Inventor： Ramesh Radhakrishna Manuvinakurike ,  Trung Huu Bui ,  Walter W. Chang

IPC: G10L15/22 ,  G10L25/57 ,  G10L15/26 ,  G10L15/06 ,  G10L25/87 ,  G10L15/04 ,  G06F3/16 ,  G10L25/78

Abstract: A technique for multiple turn conversational task assistance includes receiving data representing a conversation between a user and an agent. The conversation includes a digitally recorded video portion and a digitally recorded audio portion, where the audio portion corresponds to the video portion. Next, the audio portion is segmented into a plurality of audio chunks. For each of the audio chunks, a transcript of the respective audio chunk is received. Each of the audio chunks is grouped into one or more dialog acts, where each dialog act includes at least one of the respective audio chunks, the validated transcript corresponds to the respective audio chunks, and a portion of the video portion corresponds to the respective audio chunk. Each of the dialog acts is stored in a data corpus.

公开(公告)号：US12124508B2

公开(公告)日：2024-10-22

申请号：US17811963

申请日：2022-07-12

Applicant: ADOBE INC.

Inventor： Adyasha Maharana ,  Quan Hung Tran ,  Seunghyun Yoon ,  Franck Dernoncourt ,  Trung Huu Bui ,  Walter W. Chang

IPC: G06F16/73 ,  G06F16/738 ,  G06F16/783 ,  G06F40/284 ,  G10L13/08

CPC classification number: G06F16/739 ,  G06F16/7844 ,  G06F40/284 ,  G10L13/08

Abstract: Systems and methods for intent discovery and video summarization are described. Embodiments of the present disclosure receive a video and a transcript of the video, encode the video to obtain a sequence of video encodings, encode the transcript to obtain a sequence of text encodings, apply a visual gate to the sequence of text encodings based on the sequence of video encodings to obtain gated text encodings, and generate an intent label for the transcript based on the gated text encodings.

公开(公告)号：US20230136527A1

公开(公告)日：2023-05-04

申请号：US17453562

申请日：2021-11-04

Applicant: ADOBE INC.

Inventor： Jianguo Zhang ,  Trung Huu Bui ,  Seunghyun Yoon ,  Xiang Chen ,  Quan Hung Tran ,  Walter W. Chang

IPC: G06F40/40 ,  G06F40/30 ,  G06F40/284 ,  G06V30/19

Abstract: Systems and methods for natural language processing are described. One or more aspects of a method, apparatus, and non-transitory computer readable medium include receiving a text phrase; encoding the text phrase using an encoder to obtain a hidden representation of the text phrase, wherein the encoder is trained during a first training phrase using self-supervised learning based on a first contrastive loss and during a second training phrase using supervised learning based on a second contrastive learning loss; identifying an intent of the text phrase from a predetermined set of intent labels using a classification network, wherein the classification network is jointly trained with the encoder in the second training phase; and generating a response to the text phrase based on the intent.

公开(公告)号：US11120059B2

公开(公告)日：2021-09-14

申请号：US16020328

申请日：2018-06-27

Applicant: Adobe Inc.

Inventor： Walter W. Chang ,  Jonathan Brandt ,  Doo Soon Kim

IPC: G06F16/00 ,  G06F16/332 ,  G06F16/93 ,  G06F16/33 ,  G06F16/338 ,  G06F16/31

Abstract: Techniques of directing a user to content based on a semantic interpretation of a query input by the user involves generating links to specific content in a collection of documents in response to user string query, the links being generated based on an answer suggestion lookahead index. The answer suggestion lookahead index references a mapping between a plurality of groups of semantically equivalent terms and a respective link to specific content of the collection of documents. These techniques are useful for the generalized task of natural language question answering.

公开(公告)号：US10991004B2

公开(公告)日：2021-04-27

申请号：US14812805

申请日：2015-07-29

Applicant: ADOBE INC.

Inventor： Sachin Soni ,  Suryadeep Kumar Agrawal ,  Walter W. Chang ,  Anmol Dhawan ,  Ashish Duggal

IPC: G06Q30/00 ,  G06Q30/02

Abstract: Computer-readable media, computer systems, and computing devices of a method for facilitating providing offers utilizing population densities are provided. In embodiments, a population density for a geographical space is determined based on locations of a plurality of user devices. The population density associated with the geographical space is used to determine to provide an electronic offer to a user. The electronic offer may be associated with an item in the geographical space to entice the user to move to the geographical space. In accordance with determining to provide an electronic offer to the user, the electronic offer is provided for viewing by the user via a user device.

公开(公告)号：US10949753B2

公开(公告)日：2021-03-16

申请号：US14244755

申请日：2014-04-03

Applicant: Adobe Inc.

Inventor： Emre Demiralp ,  Walter W. Chang

IPC: G06N5/02

Abstract: In techniques for causal modeling and attribution, a causal modeling application implements a dynamical causal modeling framework. Input data is received as a representation of communications between users, such as social media interactions between social media users, and causal relationships between the users can be determined based in part on the input data that represents the communications. Influence variables, such as exogenous variables and/or endogenous variables, can also be determined that influence the causal relationships between the users. A causal relationships model is generated based on the influence variables and the causal relationships between the users, where the causal relationships model is representative of causality, influence, and attribution between the users.

公开(公告)号：US10579737B2

公开(公告)日：2020-03-03

申请号：US15913064

申请日：2018-03-06

Applicant: Adobe Inc.

Inventor： Jacqueline Brixey ,  Walter W. Chang ,  Trung Bui ,  Doo Soon Kim ,  Ramesh Radhakrishna Manuvinakurike

IPC: G06F17/24 ,  G06F17/27 ,  G06F17/30 ,  G06F3/0484

Abstract: A framework for annotating image edit requests includes a structure for identifying natural language request as either comments or image edit requests and for identifying the text of a request that maps to an executable action in an image editing program, as well as to identify other entities from the text related to the action. The annotation framework can be used to aid in the creation of artificial intelligence networks that carry out the requested action. An example method includes displaying a test image, displaying a natural language input with selectable text, and providing a plurality of selectable action tag controls and entity tag controls. The method may also include receiving selection of the text, receiving selection of an action tag control for the selected text, generating a labeled pair, and storing the labeled pair with the natural language input as an annotated natural language image edit request.

公开(公告)号：US12182524B2

公开(公告)日：2024-12-31

申请号：US17453562

申请日：2021-11-04

Applicant: ADOBE INC.

Inventor： Jianguo Zhang ,  Trung Huu Bui ,  Seunghyun Yoon ,  Xiang Chen ,  Quan Hung Tran ,  Walter W. Chang

IPC: G06F40/40 ,  G06F40/284 ,  G06F40/30 ,  G06V30/19

Abstract: Systems and methods for natural language processing are described. One or more aspects of a method, apparatus, and non-transitory computer readable medium include receiving a text phrase; encoding the text phrase using an encoder to obtain a hidden representation of the text phrase, wherein the encoder is trained during a first training phrase using self-supervised learning based on a first contrastive loss and during a second training phrase using supervised learning based on a second contrastive learning loss; identifying an intent of the text phrase from a predetermined set of intent labels using a classification network, wherein the classification network is jointly trained with the encoder in the second training phase; and generating a response to the text phrase based on the intent.

公开(公告)号：US20240037906A1

公开(公告)日：2024-02-01

申请号：US17814921

申请日：2022-07-26

Applicant: ADOBE INC.

Inventor： Qiuyu Chen ,  Quan Hung Tran ,  Kushal Kafle ,  Trung Huu Bui ,  Franck Dernoncourt ,  Walter W. Chang

IPC: G06V10/764 ,  G06V10/56 ,  G06V10/774

CPC classification number: G06V10/764 ,  G06V10/56 ,  G06V10/774 ,  G06V2201/10

Abstract: Systems and methods for color prediction are described. Embodiments of the present disclosure receive an image that includes an object including a color, generate a color vector based on the image using a color classification network, where the color vector includes a color value corresponding to each of a set of colors, generate a bias vector by comparing the color vector to teach of a set of center vectors, where each of the set of center vectors corresponds to a color of the set of colors, and generate an unbiased color vector based on the color vector and the bias vector, where the unbiased color vector indicates the color of the object.

公开(公告)号：US20230259708A1

公开(公告)日：2023-08-17

申请号：US17650876

申请日：2022-02-14

Applicant: ADOBE INC.

Inventor： Amir Pouran Ben Veyseh ,  Franck Dernoncourt ,  Walter W. Chang ,  Trung Huu Bui ,  Hanieh Deilamsalehy ,  Seunghyun Yoon ,  Rajiv Bhawanji Jain ,  Quan Hung Tran ,  Varun Manjunatha

IPC: G06F40/289 ,  G06F40/30 ,  G10L15/22 ,  G10L15/06 ,  G10L15/16

CPC classification number: G06F40/289 ,  G06F40/30 ,  G10L15/22 ,  G10L15/063 ,  G10L15/16 ,  G10L2015/0635

Abstract: Systems and methods for key-phrase extraction are described. The systems and methods include receiving a transcript including a text paragraph and generating key-phrase data for the text paragraph using a key-phrase extraction network. The key-phrase extraction network is trained to identify domain-relevant key-phrase data based on domain data obtained using a domain discriminator network. The systems and methods further include generating meta-data for the transcript based on the key-phrase data.