公开(公告)号：US12118322B2

公开(公告)日：2024-10-15

申请号：US18485532

申请日：2023-10-12

申请人： TSG Technologies, LLC

发明人： Anthony L Hinrichs ,  Andrea E DiGiovanni ,  Willem S Maritz ,  Anthony M Sardella

IPC分类号： G06F40/35 ,  G06F16/31 ,  G06F16/35 ,  G06F16/387

CPC分类号： G06F40/35 ,  G06F16/313 ,  G06F16/353 ,  G06F16/387

摘要： A system includes at least one processor to perform natural language processing on text from at least one document and assign the at least one document to at least one subjective wellbeing dimension by comparing the text from the at least one document with a subjective wellbeing dimension filter for each subjective wellbeing dimension, insert the at least one document into at least one bin, each bin associated with a particular subjective wellbeing dimension, and analyze each document in each bin associated with the particular subjective wellbeing dimension to determine a score for each subjective wellbeing dimension and an overall score that is based on each score for each subjective wellbeing dimension.

公开(公告)号：US12118319B2

公开(公告)日：2024-10-15

申请号：US17655772

申请日：2022-03-21

申请人： BEIJING BAIDU NETCOM SCIENCE TECHNOLOGY CO., LTD.

发明人： Jun Xu ,  Zeming Liu ,  Zeyang Lei ,  Zhengyu Niu ,  Hua Wu ,  Haifeng Wang

IPC分类号： G06F40/35 ,  G06F40/56 ,  G06N5/02

CPC分类号： G06F40/35 ,  G06F40/56 ,  G06N5/02

摘要： The present disclosure provides a dialog method and system, an electronic device and a storage medium, and relates to the field of artificial intelligence (AI) technologies such as deep learning and natural language processing. A specific implementation scheme involves: rewriting a corresponding dialog state based on received dialog information of a user; determining to-be-used dialog action information based on the dialog information of the user and the dialog state; and generating a reply statement based on the dialog information of the user and the dialog action information. According to the present disclosure, the to-be-used dialog action information can be determined based on the dialog information of the user and the dialog state; and then the reply statement is generated based on the dialog action information, thereby providing an efficient dialog scheme.

公开(公告)号：US20240338531A1

公开(公告)日：2024-10-10

申请号：US18748802

申请日：2024-06-20

申请人： Oracle International Corporation

发明人： Gautam Singaraju ,  Vishal Vishnoi ,  Manish Parekh ,  Alexander Wang

IPC分类号： G06F40/35 ,  G06F40/205 ,  G06F40/40 ,  G10L15/18 ,  G10L15/22

CPC分类号： G06F40/35 ,  G06F40/40 ,  G06F40/205 ,  G10L15/1815 ,  G10L15/22

摘要： A chatbot system is configured to execute code to perform determining, by the chatbot system, a classification result for an utterance and one or more anchors each anchor of the one or more anchors corresponding to one or more anchor words of the utterance. For each anchor of the one or more anchors, one or more synthetic utterances are generated, and one or more classification results for the one or more synthetic utterances are determined. A report is generated by the chatbot system including a representation of a particular anchor of the one or more anchors, the particular anchor corresponding to a highest confidence value among the one or more anchors. The one or more synthetic utterances may be used to generate a new training dataset for training a machine-learning model. The training dataset may be refined according to a threshold confidence values to filter out datasets for training.

公开(公告)号：US20240331058A1

公开(公告)日：2024-10-03

申请号：US18623449

申请日：2024-04-01

申请人： Meta Platforms, Inc

发明人： Shivani Poddar ,  Seungwhan Moon ,  Paul Anthony Crook ,  Rajen Subba

IPC分类号： G06Q50/00 ,  G06F3/01 ,  G06F3/16 ,  G06F9/451 ,  G06F9/48 ,  G06F9/54 ,  G06F16/332 ,  G06F16/9032 ,  G06F16/9536 ,  G06F18/2321 ,  G06F40/205 ,  G06F40/242 ,  G06F40/253 ,  G06F40/295 ,  G06F40/30 ,  G06F40/35 ,  G06F40/56 ,  G06N3/04 ,  G06N3/045 ,  G06N3/047 ,  G06N3/08 ,  G06N20/00 ,  G06Q10/109 ,  G06Q30/0601 ,  G06V10/20 ,  G06V10/764 ,  G06V10/82 ,  G06V20/00 ,  G06V20/20 ,  G06V20/30 ,  G06V20/40 ,  G06V40/16 ,  G06V40/20 ,  G10L15/06 ,  G10L15/08 ,  G10L15/16 ,  G10L15/18 ,  G10L15/22 ,  G10L15/30 ,  G10L15/32 ,  H04L51/18 ,  H04L51/212 ,  H04L51/222 ,  H04L51/224 ,  H04L51/52 ,  H04L67/306 ,  H04L67/75 ,  H04N7/14

CPC分类号： G06Q50/01 ,  G06F3/011 ,  G06F3/013 ,  G06F9/453 ,  G06F9/485 ,  G06F9/4862 ,  G06F9/4881 ,  G06F9/547 ,  G06F16/3329 ,  G06F16/90332 ,  G06F16/9536 ,  G06F18/2321 ,  G06F40/205 ,  G06F40/242 ,  G06F40/253 ,  G06F40/295 ,  G06F40/30 ,  G06F40/35 ,  G06F40/56 ,  G06N3/04 ,  G06N3/045 ,  G06N3/047 ,  G06N3/08 ,  G06N20/00 ,  G06Q10/109 ,  G06Q30/0603 ,  G06Q30/0631 ,  G06Q30/0633 ,  G06Q30/0643 ,  G06V10/255 ,  G06V10/764 ,  G06V10/82 ,  G06V20/00 ,  G06V20/20 ,  G06V20/30 ,  G06V40/16 ,  G06V40/25 ,  G10L15/063 ,  G10L15/08 ,  G10L15/16 ,  G10L15/1815 ,  G10L15/1822 ,  G10L15/22 ,  G10L15/30 ,  G10L15/32 ,  H04L51/18 ,  H04L51/212 ,  H04L51/222 ,  H04L51/224 ,  H04L51/52 ,  H04L67/306 ,  H04L67/75 ,  H04N7/147 ,  G06F3/017 ,  G06F3/167 ,  G06V20/41 ,  G06V40/174 ,  G06V2201/10 ,  G10L2015/0631 ,  G10L2015/088 ,  G10L2015/223 ,  G10L2015/227 ,  G10L2015/228

摘要： In one embodiment, a method includes receiving, at a client system, an audio input, where the audio input comprises a coreference to a target object, accessing visual data from one or more camera associated with the client system, where the visual data comprises images portraying one or more objects, resolving the coreference to the target object from among the one or more objects, resoling the target object to a specific entity, and providing, at the client system, a response to the audio input, where the response comprises information about the specific entity.

公开(公告)号：US20240330598A1

公开(公告)日：2024-10-03

申请号：US18556890

申请日：2023-03-09

申请人： Republic of KOREA (National Disaster Management Research Institute)

发明人： Dong Man LEE ,  Seon Hwa CHOI ,  Sang Hoon YOON ,  Jong Yeong SON ,  Mi Song KIM ,  Hee Won YOON ,  Shin Hye RYU

IPC分类号： G06F40/35 ,  G06F40/58

CPC分类号： G06F40/35 ,  G06F40/58

摘要： Provided is an AI-based disaster safety knowledge integration management system enabling AI-driven question-and-answer services for specialized knowledge in the field of disaster safety and supports automatic reporting services for policy planning and report generation on specific topics by utilizing intelligent analysis services for sharing disaster safety data, and which consists of a disaster safety knowledge base integrated with a data network and an artificial intelligence section designed for high-dimensional information processing;



the disaster safety knowledge base consisting of a data collection section for gathering and aggregating various information from external agencies; and a data transmission section for transmitting the aggregated information to the server; and big data for analyzing and accumulating the transmitted data, and
in the AI section, the accumulated and analyzed data from the big data section being utilized to enable machine intelligence through rapid learning based on human cognitive abilities and learning and inference capabilities.

公开(公告)号：US20240330596A1

公开(公告)日：2024-10-03

申请号：US18192229

申请日：2023-03-29

申请人： Wells Fargo Bank, N.A.

发明人： Manesh Saini ,  Omar Zeitoun

IPC分类号： G06F40/35 ,  G06Q10/0635 ,  G06Q10/0639 ,  G06Q30/015

CPC分类号： G06F40/35 ,  G06Q10/0635 ,  G06Q10/06393 ,  G06Q30/015

摘要： Systems and methods may generally be used for managing customer interactions with employees of an institution. An example method may include detecting natural language used during at least one interaction of a customer with the institution. The example method may include determining whether the interaction complies with a compliance standard corresponding to customer interactions with the institution based on analysis of the natural language. The example method can further include generating a recommendation for interacting with the customer or other customers during an interaction with the institution.

公开(公告)号：US20240330333A1

公开(公告)日：2024-10-03

申请号：US18128613

申请日：2023-03-30

申请人： International Business Machines Corporation

发明人： Sanket Jain ,  Sukumar Beri ,  Prosenjit Dan ,  Jatinder S. Joshi ,  Pinaki Chattopadhyay

IPC分类号： G06F16/332 ,  G06F40/35 ,  G06F40/56

CPC分类号： G06F16/3329 ,  G06F40/35 ,  G06F40/56

摘要： Methods, systems, and computer program products for automatically modifying communication content using artificial intelligence techniques are provided herein. A computer-implemented method includes identifying one or more portions of communication content within a group communication session to be modified by processing the communication content and one or more items of contextual information associated with the group communication session; generating at least one item of modified communication content related to at least a portion of the one or more identified portions of communication content by processing the one or more identified portions of communication content using one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on the at least one item of modified communication content.

公开(公告)号：US12106060B2

公开(公告)日：2024-10-01

申请号：US18649227

申请日：2024-04-29

申请人： UNLIKELY ARTIFICIAL INTELLIGENCE LIMITED

发明人： William Tunstall-Pedoe ,  Finlay Curran ,  Harry Roscoe ,  Robert Heywood

IPC分类号： G06F17/00 ,  G06F16/242 ,  G06F16/31 ,  G06F16/332 ,  G06F16/951 ,  G06F40/123 ,  G06F40/126 ,  G06F40/20 ,  G06F40/205 ,  G06F40/211 ,  G06F40/226 ,  G06F40/242 ,  G06F40/279 ,  G06F40/30 ,  G06F40/35 ,  G06F40/45 ,  G06F40/47 ,  G06F40/58 ,  G06N3/0442 ,  G06N3/0455 ,  G06N3/0499 ,  G06N3/08 ,  G06N5/02 ,  G06Q10/1053 ,  G06Q30/0251 ,  G06Q30/0601 ,  G10L15/16 ,  G10L15/18 ,  G10L15/22 ,  G10L15/26 ,  G10L25/63 ,  G16H10/60 ,  H04L51/02 ,  G06N3/091 ,  G10L15/08

CPC分类号： G06F40/35 ,  G06F16/243 ,  G06F16/322 ,  G06F16/3329 ,  G06F16/951 ,  G06F40/123 ,  G06F40/126 ,  G06F40/20 ,  G06F40/205 ,  G06F40/211 ,  G06F40/226 ,  G06F40/242 ,  G06F40/279 ,  G06F40/30 ,  G06F40/45 ,  G06F40/47 ,  G06F40/58 ,  G06N3/0442 ,  G06N3/0455 ,  G06N3/0499 ,  G06N3/08 ,  G06N5/02 ,  G06Q10/1053 ,  G06Q30/0255 ,  G06Q30/0257 ,  G06Q30/0631 ,  G10L15/16 ,  G10L15/1815 ,  G10L15/22 ,  G10L15/26 ,  G10L25/63 ,  G16H10/60 ,  H04L51/02 ,  G06N3/091 ,  G10L2015/088

摘要： A computer implemented method for the automated analysis or use of data is implemented by a voice assistant. The method comprises the steps of: (a) storing in a memory a structured, machine-readable representation of data that conforms to a machine-readable language (‘machine representation’); the machine representation including representations of user speech or text input to a human/machine interface; and (b) automatically processing the machine representations to analyse the user speech or text input.

公开(公告)号：US12099810B2

公开(公告)日：2024-09-24

申请号：US18088577

申请日：2022-12-25

申请人： UNLIKELY ARTIFICIAL INTELLIGENCE LIMITED

发明人： William Tunstall-Pedoe ,  Finlay Curran ,  Harry Roscoe ,  Robert Heywood

IPC分类号： G06F40/30 ,  G06F16/242 ,  G06F16/31 ,  G06F16/332 ,  G06F16/951 ,  G06F40/123 ,  G06F40/126 ,  G06F40/20 ,  G06F40/205 ,  G06F40/211 ,  G06F40/226 ,  G06F40/242 ,  G06F40/279 ,  G06F40/35 ,  G06F40/45 ,  G06F40/47 ,  G06F40/58 ,  G06N3/0442 ,  G06N3/0455 ,  G06N3/0499 ,  G06N3/08 ,  G06N5/02 ,  G06Q10/1053 ,  G06Q30/0251 ,  G06Q30/0601 ,  G10L15/16 ,  G10L15/18 ,  G10L15/22 ,  G10L15/26 ,  G10L25/63 ,  G16H10/60 ,  H04L51/02 ,  G06N3/091 ,  G10L15/08

CPC分类号： G06F40/35 ,  G06F16/243 ,  G06F16/322 ,  G06F16/3329 ,  G06F16/951 ,  G06F40/123 ,  G06F40/126 ,  G06F40/20 ,  G06F40/205 ,  G06F40/211 ,  G06F40/226 ,  G06F40/242 ,  G06F40/279 ,  G06F40/30 ,  G06F40/45 ,  G06F40/47 ,  G06F40/58 ,  G06N3/0442 ,  G06N3/0455 ,  G06N3/0499 ,  G06N3/08 ,  G06N5/02 ,  G06Q10/1053 ,  G06Q30/0255 ,  G06Q30/0257 ,  G06Q30/0631 ,  G10L15/16 ,  G10L15/1815 ,  G10L15/22 ,  G10L15/26 ,  G10L25/63 ,  G16H10/60 ,  H04L51/02 ,  G06N3/091 ,  G10L2015/088

摘要： A computer implemented method for the automated analysis or use of data is implemented by a voice assistant. The method comprises the steps of: (a) storing in a memory a structured, machine-readable representation of data that conforms to a machine-readable language (‘machine representation’); the machine representation including representations of user speech or text input to a human/machine interface; and (b) automatically processing the machine representations to analyse the user speech or text input.

公开(公告)号：US20240304184A1

公开(公告)日：2024-09-12

申请号：US18120216

申请日：2023-03-10

申请人： GOOGLE LLC

发明人： Roberto Pieraccini ,  Wangqing Yuan ,  Martin Baeuml

IPC分类号： G10L15/197 ,  G06F40/35 ,  G10L15/06 ,  G10L15/18 ,  G10L15/22 ,  G10L15/30

CPC分类号： G10L15/197 ,  G06F40/35 ,  G10L15/063 ,  G10L15/1807 ,  G10L15/1815 ,  G10L15/22 ,  G10L15/30

摘要： As part of an ongoing dialog between a user and an automated assistant, processor(s) can receive a natural language (NL) based input from the user during a turn of the ongoing dialog, obtain style signal(s) for the turn, and determine, based on the style signal(s), a NL based response style that is not specified in the NL based input. Further, the processor(s) can process, using a large language model (LLM), the NL based input and a NL based response style tag for the NL based response style to generate LLM output, determine, based on the LLM output, a NL based response in the NL based response style, and cause the NL based response to be rendered. In some implementations, a LLM behavior controller is utilized to determine the NL based response style, whereas in other implementations, the LLM is fine-tuned to determine the NL based response style.