公开(公告)号：US12045575B2

公开(公告)日：2024-07-23

申请号：US17676618

申请日：2022-02-21

申请人： Optum360, LLC

发明人： George Karres ,  Destinee Tormey ,  Christopher Miller ,  Brian Potter ,  Mark L. Morsch

IPC分类号： G06F40/30 ,  G16H10/20 ,  G16H10/60 ,  G16Z99/00

CPC分类号： G06F40/30 ,  G16H10/20 ,  G16H10/60 ,  G16Z99/00

摘要： Computer implemented systems and methods of processing clinical documentation for a multi-axial coding scheme include inputting clinical documentation from memory operatively coupled with a computer system, and executing a natural language processor configured to process narrative text in the clinical documentation. The processor segments the narrative text based on boundaries defined in the clinical documentation, sequences words in the narrative text based on the segmentation, and maps the sequenced words to semantic objects in an ontology database. The ontology defines classes of semantic objects and relationships between them, corresponding to the multi-axial coding scheme. The semantic objects are converted into characters and output into slots in a medical code, with the characters positioned in the slots based on the multi-axial coding scheme.

公开(公告)号：US12045273B1

公开(公告)日：2024-07-23

申请号：US16886986

申请日：2020-05-29

申请人： William S. Morriss

发明人： William S. Morriss

IPC分类号： G06F16/35 ,  G06F16/36 ,  G06F16/38 ,  G06F16/9538 ,  G06F40/295 ,  G06F40/30

CPC分类号： G06F16/355 ,  G06F16/367 ,  G06F16/382 ,  G06F16/9538 ,  G06F40/295 ,  G06F40/30

摘要： Search may be provided using a database storing a plurality of documents comprising a first set of documents and a second set of documents, a set of vetting values and a computer readable medium. In such a system, for each document in the second set of documents, the first set of documents comprises a document for which that document from the second set of documents is identified as a subsequent related document. Additionally, the set of vetting values may comprise, for each document from the second set of documents, a vetting value for the document from the first set of documents for which that document from the second set of documents is identified as the subsequent related document. Additionally, the medium may store instructions to respond to a query by determining, based on the set of vetting values, a search result set comprising documents from the first set of documents.

公开(公告)号：US12044536B2

公开(公告)日：2024-07-23

申请号：US16972496

申请日：2019-01-07

申请人： Google LLC

发明人： Yan Mayster ,  Brian Edmond Brewington ,  Brian Daniel Shucker ,  Vishal Goenka

IPC分类号： G01C21/34 ,  G06F40/30 ,  G06Q10/02 ,  H04W4/029

CPC分类号： G01C21/3438 ,  G01C21/3415 ,  G06F40/30 ,  G06Q10/02 ,  H04W4/029

摘要： Provided are methods, systems, devices, apparatuses, and tangible non-transitory computer readable media for navigation and geocoding. The disclosed technology can perform operations including accessing location data and semantic tags. The location data can include information associated with locations including the location of a carrier and the location of a passenger. The semantic tags can include information associated with features of the locations. The location data and the semantic tags that satisfy meeting criteria can be identified. The meeting criteria can be associated with a suitability of a location for the carrier and the passenger. A meeting location for the carrier and the passenger can be determined based on the location data and the semantic tags that satisfy the meeting criteria. Furthermore, indications associated with the meeting location can be generated based on the features of the meeting location.

公开(公告)号：US20240242033A1

公开(公告)日：2024-07-18

申请号：US18156050

申请日：2023-01-18

申请人： NICE LTD.

发明人： Lior INTRATOR ,  Dalya BELL ,  Tal HAGUEL ,  Neta ROSENFELD ,  Yonatan ROSEN ,  Koren GERSHONI

IPC分类号： G06F40/30 ,  G06Q50/00 ,  G06V30/14 ,  G06V30/262

CPC分类号： G06F40/30 ,  G06Q50/01 ,  G06V30/14 ,  G06V30/274

摘要： A machine learning (ML) system and methods are provided that are configured to correlate text data with corresponding image data for image sentiment analysis. The system includes a processor and a computer readable medium operably coupled thereto, the computer readable medium comprising a plurality of instructions stored in association therewith that are accessible to, and executable by, the processor, to perform image processing operations which include receiving image data for an image posted on a social networking platform, determining whether there is text data, performing image data extraction operations, analyzing the text data, determining and combining a score for the image and text data, determining an image sentiment or a text sentiment, calculating weighted metrics based on the image sentiment or the text sentiment, determining historical customer data interactions of the customer, and recommending one or more actions based on the weighted metrics.

公开(公告)号：US12039971B2

公开(公告)日：2024-07-16

申请号：US17132443

申请日：2020-12-23

申请人： Beijing Xiaomi Pinecone Electronics Co., Ltd.

发明人： Yuankai Guo ,  Bin Wang ,  Liang Shi ,  Yulan Hu ,  Erli Meng ,  Shuo Wang ,  Yingzhe Wang

IPC分类号： G10L15/08 ,  G06F40/30 ,  G10L15/04

CPC分类号： G10L15/08 ,  G06F40/30 ,  G10L15/04 ,  G10L2015/088

摘要： A method for semantic recognition includes: in response to performing semantic analysis on information acquired by a terminal, a sentence to be processed is acquired; word recognition is performed on the sentence, to obtain a plurality of words and part-of-speech information corresponding to each of the words; a target set update operation is determined with a word processing model, according to one or more words to be input, part-of-speech information of the words to be input, and a dependency relationship of a first word. The word processing model is configured to calculate first and second feature vectors according to a word feature vector of the words to be input, a part-of-speech feature vector of the part-of-speech information and a relationship feature vector of the dependency relationship of the first word, calculate confidence levels of the preset set update operations according to the first feature vector and the second feature vector.

公开(公告)号：US12039280B2

公开(公告)日：2024-07-16

申请号：US18135457

申请日：2023-04-17

申请人： Capital One Services, LLC

发明人： Oluwatobi Olabiyi ,  Erik T. Mueller ,  Rui Zhang ,  Zachary Kulis ,  Varun Singh

IPC分类号： G06F40/30 ,  G06F18/21 ,  G06F18/214 ,  G06F40/284 ,  G06F40/35 ,  G06F40/56 ,  G06N3/049 ,  G06N20/00 ,  G10L15/06 ,  G10L15/16 ,  G10L15/22

CPC分类号： G06F40/30 ,  G06F18/2148 ,  G06F18/217 ,  G06F40/284 ,  G06F40/35 ,  G06F40/56 ,  G06N3/049 ,  G06N20/00 ,  G10L15/063 ,  G10L15/16 ,  G10L15/22 ,  G10L2015/0631 ,  G10L2015/228

摘要： Machine classifiers in accordance with embodiments of the invention capture long-term temporal dependencies in particular tasks, such as turn-based dialogues. Machine classifiers may be used to help users to perform tasks indicated by the user. When a user utterance is received, natural language processing techniques may be used to understand the user's intent. Templates may be determined based on the user's intent in the generation of responses to solicit information from the user. A variety of persona attributes may be determined for a user. The persona attributes may be determined based on the user's utterances and/or provided as metadata included with the user's utterances. A response persona may be used to generate responses to the user's utterances such that the generated responses match a tone appropriate to the task. A response persona may be used to generate templates to solicit additional information and/or generate responses appropriate to the task.

公开(公告)号：US12039276B2

公开(公告)日：2024-07-16

申请号：US16914899

申请日：2020-06-29

申请人： Cisco Technology, Inc.

发明人： Dmitri Goloubev ,  Nassim Benoussaid ,  Volodymyr Iashyn ,  Borys Viacheslavovych Berlog ,  Carlos M. Pignataro

IPC分类号： G06F40/30 ,  G06F16/35 ,  G06F40/279 ,  G06F16/28 ,  G06N20/00

CPC分类号： G06F40/30 ,  G06F16/353 ,  G06F40/279 ,  G06F16/285 ,  G06N20/00

摘要： A method includes associating anomalous first text, from a first unstructured data set, with a first classification; processing the first unstructured data set using at least one of ML or AI to identify a second text that is in close context to the first text, and adding the second text to a text list associated with the first classification; enriching the text list by processing the second text to generate a third text, and adding the third text to the text list to produce an enriched text list and such that the third text is also associated with the first classification; matching the text in the enriched text list to text in a second unstructured data set; and classifying the text in the second unstructured data set as having the first classification when the text in the second unstructured data set matches text in the enriched text list.

公开(公告)号：US20240236129A9

公开(公告)日：2024-07-11

申请号：US18379711

申请日：2023-10-13

申请人： Intellective Ai, Inc.

发明人： Wesley Kenneth COBB ,  Ming-Jung SEOW ,  Curtis Edward COLE, JR. ,  Cody Shay FALCON ,  Benjamin A. KONOSKY ,  Charles Richard MORGAN ,  Aaron POFFENBERGER ,  Thong Toan NGUYEN

IPC分类号： H04L9/40 ,  G06F40/226 ,  G06F40/242 ,  G06F40/289 ,  G06F40/30 ,  G06N20/00

CPC分类号： H04L63/1425 ,  G06F40/226 ,  G06F40/242 ,  G06F40/289 ,  G06F40/30 ,  G06N20/00 ,  H04L63/1408 ,  G06F40/40

摘要： Embodiments presented herein describe a method for processing streams of data of one or more networked computer systems. According to one embodiment of the present disclosure, an ordered stream of normalized vectors corresponding to information security data obtained from one or more sensors monitoring a computer network is received. A neuro-linguistic model of the information security data is generated by clustering the ordered stream of vectors and assigning a letter to each cluster, outputting an ordered sequence of letters based on a mapping of the ordered stream of normalized vectors to the clusters, building a dictionary of words from of the ordered output of letters, outputting an ordered stream of words based on the ordered output of letters, and generating a plurality of phrases based on the ordered output of words.

公开(公告)号：US20240233430A9

公开(公告)日：2024-07-11

申请号：US18048030

申请日：2022-10-20

申请人： Infrrd Inc

发明人： Srirama R Nakshathri

IPC分类号： G06V30/412 ,  G06F40/284 ,  G06F40/30

CPC分类号： G06V30/412 ,  G06F40/284 ,  G06F40/30

摘要： A system to extract checkbox symbol and checkbox option pertaining to checkbox question from a document is provided. The system comprises of processors configured to identify location of checkbox symbols and their relative location with respect to checkbox options. The processor is configured to determine context of textual information corresponding to checkbox options using textual processing and a pictorial representation of non-textual information corresponding to checkbox symbols using visual processing is detected. The processor is configured to group the textual information corresponding to the checkbox options with the corresponding checkbox symbols by unique visual token using the textual processing and the visual processing on the document. The unique visual token is utilized as an anchor to group the textual information with the non-textual information in the digital document. The processor is configured to identify at least a link between the checkbox options with corresponding checkbox questions.

公开(公告)号：US20240232540A1

公开(公告)日：2024-07-11

申请号：US18616731

申请日：2024-03-26

申请人： Salesforce, Inc.

发明人： Andrew R. Paley ,  Nathan D. Nichols ,  Matthew L. Trahan ,  Maia Lewis Meza ,  Michael Tien Thinh Pham ,  Charlie M. Truong

IPC分类号： G06F40/30 ,  G06F40/295 ,  G06N5/02 ,  G10L17/18

CPC分类号： G06F40/30 ,  G06F40/295 ,  G06N5/02 ,  G10L17/18

摘要： Artificial intelligence (AI) technology can be used in combination with composable communication goal statements to facilitate a user's ability to quickly structure story outlines in a manner usable by an NLG narrative generation system without any need for the user to directly author computer code. Narrative analytics that are linked to communication goal statements can employ a conditional outcome framework that allows the content and structure of resulting narratives to intelligently adapt as a function of the nature of the data under consideration. This AI technology permits NLG systems to determine the appropriate content for inclusion in a narrative story about a data set in a manner that will satisfy a desired communication goal.