公开(公告)号：US11947894B2

公开(公告)日：2024-04-02

申请号：US17242684

申请日：2021-04-28

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Manish Madhukarrao Tumbde ,  Mandar Dattatraya Bhuvad ,  Nitesh Jankilal Shreemali ,  Girish Padmanabhan

IPC: G06F40/109 ,  G06F40/284 ,  G06F40/35 ,  G06V20/00 ,  G10L15/18 ,  G10L15/22

CPC classification number: G06F40/109 ,  G06F40/284 ,  G06F40/35 ,  G06V20/00 ,  G10L15/1815 ,  G10L15/22

Abstract: A method, computer system, and a computer program product for contextual digital content highlighting is provided. Discussion is monitored between a plurality of parties in conjunction with a digital presentation and a context of the monitored discussion is then identified. Then a most relevant portion of displayed digital content associated with the presentation is identified based on the identified context and highlighting then is applied to the identified most relevant portion of the displayed content.

公开(公告)号：US20240104309A1

公开(公告)日：2024-03-28

申请号：US18465648

申请日：2023-09-12

Applicant: Samsung Electronics Co., Ltd.

Inventor： Yen-Chang Hsu ,  Harshavardhan Kamarthi ,  Yilin Shen ,  Hongxia Jin

IPC: G06F40/35 ,  G06F40/166 ,  G06F40/284 ,  G06F40/40 ,  G06N3/09

CPC classification number: G06F40/35 ,  G06F40/166 ,  G06F40/284 ,  G06F40/40 ,  G06N3/09

Abstract: A method includes receiving an input for a large language model (LLM) from a user. The method also includes generating one or more token embeddings based on the input. The method further includes generating one or more prompt embeddings based on the input using a contextual prompt generator (CPG), the one or more prompt embeddings representing new or updated information that is not contained in existing knowledge of the LLM. The method also includes providing the one or more token embeddings and the one or more prompt embeddings to the LLM. In addition, the method includes outputting a prediction based on the one or more token embeddings and the one or more prompt embeddings using the LLM, wherein the prediction reflects the new or updated information represented by the one or more prompt embeddings.

公开(公告)号：US20240104304A1

公开(公告)日：2024-03-28

申请号：US18275995

申请日：2022-01-25

Applicant: Alipay (Hangzhou) Information Technology Co., Ltd.

Inventor： Ruofan Wu ,  Leilei Shi ,  Yonghuan Chen ,  Yaowei Zhu

IPC: G06F40/284 ,  G06F40/242

CPC classification number: G06F40/284 ,  G06F40/242

Abstract: This specification provides a method and an apparatus for estimating a word segment frequency in differential privacy protection data, and an electronic device. According to the method, each piece of word segment information that is reported by a terminal device and that is subject to local differential privacy processing is obtained; N groups of word segment information are obtained through division, so each piece of word segment information of the same group corresponds to the same target quantity; each group of estimated data that is corresponding to each group of word segment information and that represents unbiased word segment frequency estimation is determined; and each layer of nodes of a prefix tree used to record a word segment frequency is generated layer by layer based on each group of estimated data.

公开(公告)号：US11941364B2

公开(公告)日：2024-03-26

申请号：US17463658

申请日：2021-09-01

Applicant: International Business Machines Corporation

Inventor： Sushain Pandit ,  Andrew T. Penrose ,  Rory O Donnell ,  Charles Daniel Wolfson

IPC: G06F40/30 ,  G06F16/23 ,  G06F40/284

CPC classification number: G06F40/30 ,  G06F16/2379 ,  G06F40/284

Abstract: In an approach for routing a user analytic request to a registry of analytics models and data sources and operationalizing the user analytic request, a processor receives a user analytic request. A processor applies natural language processing to the user analytic request. A processor associates a first set of vectors and a second set of vectors from the user analytic request to one or more analytics models and data sources by utilizing a plurality of domain-specific ontologies and a plurality of knowledge bases. A processor performs a semantic search for one or more concepts in the one or more analytics models and data sources. A processor receives the one or more concepts found in the one or more analytics models and data sources. A processor selects an analytics model to process the user analytic request. A processor executes the analytics model. A processor outputs a result to the user.

公开(公告)号：US11936686B2

公开(公告)日：2024-03-19

申请号：US17581296

申请日：2022-01-21

Applicant: Social Safeguard, Inc.

Inventor： Otavio R. Freire ,  Ruben Jimenez

IPC: H04L29/06 ,  G06F40/284 ,  H04L9/40 ,  H04L41/16 ,  H04L61/2503

CPC classification number: H04L63/1466 ,  G06F40/284 ,  H04L41/16 ,  H04L61/2503 ,  H04L63/0807 ,  H04L63/1483

Abstract: Embodiments of the present disclosure use natural language processing, machine learning and relevant corpora to detect social engineering attacks with a high degree of accuracy. In various embodiments, lexical features, spelling features and topical features are automatically analyzed from a source text and a model is employed to assess the likelihood that the source message is a social engineering attack.

公开(公告)号：US11934781B2

公开(公告)日：2024-03-19

申请号：US17125468

申请日：2020-12-17

Applicant: Salesforce, Inc.

Inventor： Junxian He ,  Wojciech Kryscinski ,  Bryan McCann

IPC: G06F40/10 ,  G06F40/143 ,  G06F40/169 ,  G06F40/284 ,  G06N7/01 ,  G06F3/0483

CPC classification number: G06F40/284 ,  G06N7/01 ,  G06F3/0483

Abstract: Embodiments described herein provide a flexible controllable summarization system that allows users to control the generation of summaries without manually editing or writing the summary, e.g., without the user actually adding or deleting certain information under various granularity. Specifically, the summarization system performs controllable summarization through keywords manipulation. A neural network model is learned to generate summaries conditioned on both the keywords and source document so that at test time a user can interact with the neural network model through a keyword interface, potentially enabling multi-factor control.

公开(公告)号：US20240087265A1

公开(公告)日：2024-03-14

申请号：US17942101

申请日：2022-09-09

Applicant: ADOBE INC.

Inventor： Taesung Park ,  Richard Zhang ,  Elya Schechtman

IPC: G06T19/20 ,  G06F3/04847 ,  G06F40/289 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82

CPC classification number: G06T19/20 ,  G06F3/04847 ,  G06F40/289 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G06F40/284 ,  G06T2200/24 ,  G06T2210/61

Abstract: Various disclosed embodiments are directed to changing parameters of an input image or multidimensional representation of the input image based on a user request to change such parameters. An input image is first received. A multidimensional image that represents the input image in multiple dimensions is generated via a model. A request to change at least a first parameter to a second parameter is received via user input at a user device. Such request is a request to edit or generate the multidimensional image in some way. For instance, the request may be to change the light source position or camera position from a first set of coordinates to a second set of coordinates.

公开(公告)号：US20240086461A1

公开(公告)日：2024-03-14

申请号：US17930880

申请日：2022-09-09

Applicant: Verint Americas Inc.

Inventor： Konstantin Varakin

IPC: G06F16/683 ,  G06F40/284 ,  G06F40/40

CPC classification number: G06F16/685 ,  G06F40/284 ,  G06F40/40

Abstract: A system and method use a trained transformer model to generate summaries of audio interactions based on keywords. Training the transformer model includes obtaining a transcription of an audio interaction, obtain keywords for summarizing the audio interaction, training a transformer model to generate a summary of the audio interaction based on the keywords and the transcription, where the transcription is an input to the transformer model and the keywords are injected between an encoder and a decoder of the transformer model, and deploying the trained transformer model to be used for generating summaries of subsequent audio interactions.

公开(公告)号：US11930024B2

公开(公告)日：2024-03-12

申请号：US16750852

申请日：2020-01-23

Applicant: Oracle International Corporation

Inventor： Brian H. Xu ,  Chao Feng ,  Ganesh Kirti

IPC: H04L29/06 ,  G06F11/07 ,  G06F11/32 ,  G06F17/18 ,  G06F40/284 ,  G06N3/02 ,  G06N3/08 ,  H04L9/40

CPC classification number: H04L63/1425 ,  G06F11/0709 ,  G06F11/327 ,  G06F17/18 ,  G06F40/284 ,  G06N3/02 ,  G06N3/08 ,  H04L63/1441 ,  H04L63/1408

Abstract: A method of detecting anomalous user behavior in a cloud environment includes calculating a first vector that is representative of actions taken during a plurality of previous time intervals; calculating a similarity between the first vector and a second vector that comprises counts of actions taken by the user during a current time interval; comparing the similarity to a baseline threshold to determine whether one or more anomalous actions have occurred; and generating an alert based at least in part on a determination that the one or more anomalous actions have occurred in the cloud environment.

公开(公告)号：US11928435B2

公开(公告)日：2024-03-12

申请号：US17034394

申请日：2020-09-28

Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.

Inventor： Lu Pan ,  Yuguang Chen ,  Fayuan Li ,  Cuiyun Han ,  Yuanzhen Liu ,  Jiayan Huang

IPC: G06F40/30 ,  G06F18/21 ,  G06F18/2113 ,  G06F18/213 ,  G06F18/25 ,  G06F40/284

CPC classification number: G06F40/30 ,  G06F18/2113 ,  G06F18/213 ,  G06F18/2163 ,  G06F18/253 ,  G06F40/284

Abstract: The present disclosure provides an event extraction method, an event extraction device and an electronic device, and it relates to the field of computer data processing, in particular to the field of knowledge graph. The event extraction method includes: acquiring text information; determining a plurality of pieces of question information ranked in a sequential order in accordance with the text information; and inputting vector information for each piece of question information into an extraction model in accordance with the sequential order to acquire extraction information for each piece of question information.