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公开(公告)号:US20240061872A1
公开(公告)日:2024-02-22
申请号:US18385714
申请日:2023-10-31
申请人: Banjo Health Inc.
发明人: Saaransh Mahna , James Rollins , Shannon Fee , Randy Ulloa , Jimmy Lin
IPC分类号: G06F16/33 , G06F16/2457 , G06F18/214 , G06F40/00
CPC分类号: G06F16/3346 , G06F16/2457 , G06F18/214 , G06F40/00
摘要: An apparatus and method for generating a schema, the apparatus comprising at least a processor and a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to display, at a graphical control interface, a content field window, receive, as a function of the content field window, a criterion element, and generate a schema as a function of the criterion element.
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公开(公告)号:US11875165B2
公开(公告)日:2024-01-16
申请号:US17965054
申请日:2022-10-13
申请人: GOOGLE LLC
发明人: Justin Lewis , Scott Davies
IPC分类号: G06F9/451 , G06F40/20 , G06F16/33 , G06F16/332 , G06F40/30 , B62D1/19 , B62D1/184 , B62D1/185 , G06F16/35 , G06F16/338 , G06F16/383 , G06F3/16 , G06F16/387 , G06F17/00
CPC分类号: G06F9/453 , G06F16/3329 , G06F16/3334 , G06F16/3344 , G06F40/20 , G06F40/30 , B62D1/184 , B62D1/185 , B62D1/195 , G06F3/167 , G06F16/332 , G06F16/338 , G06F16/3323 , G06F16/3326 , G06F16/3331 , G06F16/3343 , G06F16/3346 , G06F16/3347 , G06F16/353 , G06F16/383 , G06F16/387
摘要: Methods, apparatus, systems, and computer-readable media are provided for providing context specific schema files that allow an automated assistant to broker human-to-computer dialogs between a user and an application that is separate from the automated assistant. The context specific schema file can provide the automated assistant with sufficient data to be responsive to user queries without necessarily communicating with a remote device, such as a server. Multiple different context specific schema files can be made available to the automated assistant according to a context in which a user is interacting with the automated assistant. In this way, latency otherwise exhibited by the automated assistant can be mitigated by providing the automated assistant with the information needed to respond to a user without continually retrieving the information over a network.
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公开(公告)号:US11842253B2
公开(公告)日:2023-12-12
申请号:US16995149
申请日:2020-08-17
申请人: Google LLC
发明人: Brian Strope , Yun-hsuan Sung , Wangqing Yuan
IPC分类号: G06N20/00 , G06F16/35 , G06F16/332 , G06F16/33 , G06N5/04
CPC分类号: G06N20/00 , G06F16/3329 , G06F16/3344 , G06F16/3346 , G06F16/35 , G06N5/04
摘要: Systems, methods, and computer readable media related to: training an encoder model that can be utilized to determine semantic similarity of a natural language textual string to each of one or more additional natural language textual strings (directly and/or indirectly); and/or using a trained encoder model to determine one or more responsive actions to perform in response to a natural language query. The encoder model is a machine learning model, such as a neural network model. In some implementations of training the encoder model, the encoder model is trained as part of a larger network architecture trained based on one or more tasks that are distinct from a “semantic textual similarity” task for which the encoder model can be used.
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公开(公告)号:US11829398B2
公开(公告)日:2023-11-28
申请号:US16845921
申请日:2020-04-10
申请人: salesforce.com, inc.
IPC分类号: G06F15/16 , G06F16/33 , G06F16/182 , G06F16/338 , G06F16/17 , G06F21/62
CPC分类号: G06F16/3346 , G06F16/1734 , G06F16/182 , G06F16/338 , G06F21/6218 , G06F2221/0751
摘要: Techniques are disclosed relating to probabilistic data structures. A database node may maintaining a probabilistic data structure capable of encoding database keys. The probabilistic data structure may include a plurality of levels that are each capable of storing an indication of a transition between successive characters in a database key. The database node may insert a particular database key into the probabilistic data structure and the particular database key may comprise a series of characters. The inserting may include setting, for each transition between successive characters of the series of characters, an indication in a corresponding level of the plurality of levels that is indicative of that transition. The database node may further maintain lineage information specifying one or more lineages that correspond to the transition.
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公开(公告)号:US11797887B2
公开(公告)日:2023-10-24
申请号:US17135384
申请日:2020-12-28
发明人: Swapna Buccapatnam Tirumala , Ashish Jagmohan , Elham Khabiri , Ta-Hsin Li , Matthew Daniel Riemer , Vadim Sheinin , Aditya Vempaty
IPC分类号: G06F16/33 , G06N20/00 , G06F40/30 , G06F40/242 , G06F40/295 , G06N3/08 , G06V30/413 , G06V30/414 , G06F18/24 , G06F18/25 , G06N3/045
CPC分类号: G06N20/00 , G06F16/3346 , G06F18/24 , G06F18/253 , G06F40/242 , G06F40/295 , G06F40/30 , G06N3/045 , G06N3/08 , G06V30/413 , G06V30/414
摘要: Techniques for mapping policy documents to regulatory documents to check for compliance between the policies and documents are provided. In one example, a computer-implemented method determining, by a system operatively coupled to a processor, an information input, a control framework, and a document from a first group consisting of a regulatory document and a policy document, wherein the information input is a corpora from a second group consisting of a domain corpora and a global corpora. The computer-implemented method can also comprise mapping, by the system, the received regulatory document or the received policy document to the control framework using a supervised machine learning technique.
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公开(公告)号:US20230252067A1
公开(公告)日:2023-08-10
申请号:US17650534
申请日:2022-02-10
发明人: Kosuke Okamoto , Yoshinori Tahara , Tohru Hasegawa
IPC分类号: G06F16/383 , G06F16/33 , G06F16/35
CPC分类号: G06F16/383 , G06F16/3334 , G06F16/3346 , G06F16/35
摘要: A computer-implemented method, a computer program product, and a computer system for ranking explanatory variables in multivariate analysis. A computer system extracts words from documents related to categories, creates a histogram of the words in each category, and selects top words in each histogram, where the top words are used as representing words in each category. A computer system generates respective feature vectors of explanatory variable candidates and a feature vector of an objective variable, where a feature vector of a corresponding variable includes elements corresponding to respective ones of the categories and a value of element indicates whether a name of the corresponding variable is included in the top words. A computer system calculates cosine similarity between each of the respective feature vectors of the explanatory variable candidates and the feature vector of the objective variable. A computer system ranks the explanatory variable candidates, based on the cosine similarity.
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公开(公告)号:US11710046B2
公开(公告)日:2023-07-25
申请号:US16699443
申请日:2019-11-29
申请人: 42Maru Inc.
发明人: Dong Hwan Kim , Woo Tae Jeong , Seanie Lee , Gilje Seong
CPC分类号: G06N3/088 , G06F16/3334 , G06F16/3346 , G06F16/3347 , G06N3/004 , G06N3/045 , G06N3/08 , G06N20/00
摘要: A method of generating a question-answer learning model through adversarial learning may include: sampling a latent variable based on constraints in an input passage; generating an answer based on the latent variable; generating a question based on the answer; and machine-learning the question-answer learning model using a dataset of the generated question and answer, wherein the constraints are controlled so that the latent variable is present in a data manifold while increasing a loss of the question-answer learning model.
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公开(公告)号:US20230229683A1
公开(公告)日:2023-07-20
申请号:US18002105
申请日:2021-07-19
申请人: SHOWA DENKO K.K.
发明人: Takuya MINAMI , Yoshishige OKUNO
IPC分类号: G06F16/33
CPC分类号: G06F16/3346 , G06F16/3334
摘要: To improve precision while maintaining a balance between accuracy and comprehensiveness of a document search. According to one embodiment of the present invention, a document search device includes an input reception unit configured to receive an input of a keyword of a document search, a document search unit configured to acquire, from a document, a hit character string matching a character string in which a portion of characters of the keyword is replaced with a wildcard, and character strings before and after the hit character string, and compute a likelihood of the hit character string, based on the hit character string, and the character strings before and after the hit character string, and a search result display unit configured to output a result of the document search based on the likelihood.
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公开(公告)号:US11663256B2
公开(公告)日:2023-05-30
申请号:US17348362
申请日:2021-06-15
申请人: Kyndryl, Inc.
发明人: Shashidhar Sastry , Rahul Chenny
IPC分类号: G06F16/33 , G06F16/383 , G06N20/00 , G06F8/36 , G06F16/84
CPC分类号: G06F16/3346 , G06F8/36 , G06F16/383 , G06F16/86 , G06N20/00
摘要: A pictogram repository is created of pictograms including expressions that are mapped to at least a portion of source code that is stored in a separate source code repository. A score is recorded for developers for the source code that is stored in the source code repository. A source code search inquiry of at least one pictograms for search query elements is conducted, in which the at least one pictogram for the search query elements are matched to the pictograms in the repository of pictograms that includes expressions that are mapped to at least a portion of source code that is stored in the separate source code repository. Matching source code have the score for their developer checked against a threshold value. Source code meeting the search query elements and having a score for their developer meeting the threshold value are retrieved.
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公开(公告)号:US20190220767A1
公开(公告)日:2019-07-18
申请号:US16247306
申请日:2019-01-14
申请人: Gamalon, Inc.
发明人: Benjamin W. Vigoda , Glynnis Keamey , Pawel Jeizy Zimoch , Matthew C. Barr , Martin Blood Zwimer Forsythe , Joel Bauman
CPC分类号: G06N7/005 , G06F16/219 , G06F16/3346 , G06F17/2795 , G06F21/44 , G06N5/048 , G06N20/00 , G06Q30/0283
摘要: A computer-implemented method, computer program product and computing system for maintaining an ML object collection that defines a plurality of ML objects; and associating access criteria with each of the plurality of ML objects.
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