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公开(公告)号：US12131394B1
公开(公告)日：2024-10-29
申请号：US17219640
申请日：2021-03-31
Applicant: Amazon Technologies, Inc.
Inventor： Rama Krishna Sandeep Pokkunuri , Roger Scott Jenke , Harshal Pimpalkhute , Yahor Pushkin , Swapandeep Singh , Vasanth Philomin , Ganesh Kumar Gella
Abstract: Using a first set of machine learning models, a communication from a user of a restaurant is analyzed at an order coordinator linked via a network to resources of an order management service at a provider network. A response to the communication is prepared using another set of models at the provider network and presented to the user. An order of the user for one or more restaurant menu items is fulfilled, based at least partly on analysis of a second communication received from the user after the response is presented.
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公开(公告)号：US20220100963A1
公开(公告)日：2022-03-31
申请号：US17039919
申请日：2020-09-30
Applicant: Amazon Technologies, Inc.
Inventor： Rishita Rajal Anubhai , Yahor Pushkin , Graham Vintcent Horwood , Yinxiao Zhang , Ravindra Manjunatha , Jie Ma , Alessandra Brusadin , Jonathan Steuck , Shuai Wang , Sameer Karnik , Miguel Ballesteros Martinez , Sunil Mallya Kasaragod , Yaser Al-Onaizan
IPC: G06F40/30 , G06F40/295 , G06N20/00
Abstract: Methods, systems, and computer-readable media for event extraction from documents with co-reference are disclosed. An event extraction service identifies one or more trigger groups in a document comprising text. An individual one of the trigger groups comprises one or more textual references to an occurrence of an event. The one or more trigger groups are associated with one or more semantic roles for entities. The event extraction service identifies one or more entity groups in the document. An individual one of the entity groups comprises one or more textual references to a real-world object. The event extraction service assigns one or more of the entity groups to one or more of the semantic roles. The event extraction service generates an output indicating the one or more trigger groups and one or more entity groups assigned to the semantic roles.
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公开(公告)号：US12143343B1
公开(公告)日：2024-11-12
申请号：US17532958
申请日：2021-11-22
Applicant: Amazon Technologies, Inc.
Inventor： Swaminathan Sivasubramanian , Vasanth Philomin , Ganesh Kumar Gella , Santosh Kumar Ameti , Meghana Puvvadi , Manikya Pavan Kiran Pothukuchi , Harshal Pimpalkhute , Rama Krishna Sandeep Pokkunuri , Yahor Pushkin , Roger Scott Jenke , Yaser Al-Onaizan , Yi Zhang , Saab Mansour , Salvatore Romeo
Abstract: A system receives one or more transcripts of communications between entities. The system identifies a requested action in the communications based at least in part on a mapping between the requested action and an application programming interface. The system identifies one or more statements eliciting information, based on parameters to the application programming interface. The system generates a definition of an artificial agent based, at least in part, on the requested action and the one more statements eliciting information.
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公开(公告)号：US12061956B1
公开(公告)日：2024-08-13
申请号：US17037114
申请日：2020-09-29
Applicant: Amazon Technologies, Inc.
Inventor： Yahor Pushkin , Sunil Mallya Kasaragod , Sravan Babu Bodapati
CPC classification number: G06N20/00 , G06F11/3688 , G06F11/3692
Abstract: Techniques for utilizing a federated learning service are described. An exemplary method includes causing a development of a deployable machine learning model using at least two devices, the development of the deployable machine learning model including: providing an initial machine learning model or algorithm to the at least two devices external to the provider network, causing each of the at least two devices external to the provider network to locally train the initial machine learning model or algorithm using training data to each generate a modified version of the initial machine learning model, determining updates between the initial model and the generated modified versions of the initial machine learning model, and applying the determined updates to the initial model to generate the candidate machine learning model.
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公开(公告)号：US20220100772A1
公开(公告)日：2022-03-31
申请号：US17039887
申请日：2020-09-30
Applicant: Amazon Technologies, Inc.
Inventor： Srikanth Doss Kadarundalagi Raghura , Yogarshi Paritosh Vyas , Miguel Ballesteros Martinez , Yahor Pushkin , Sunil Mallya Kasaragod , Yaser Al-Onaizan , Sameer Karnik , Abhinav Goyal , Graham Vintcent Horwood , Kapil Singh Badesara
IPC: G06F16/25 , G06F16/23 , G06F21/62 , G06F40/289
Abstract: Methods, systems, and computer-readable media for context-sensitive linking of entities to private databases are disclosed. An entity linking service stores a plurality of representations of entities. Individual ones of the entities correspond to individual ones of a plurality of records in one or more private databases. The entity linking service determines a mention of an entity in a document. The entity linking service selects, from the plurality of records in the one or more private databases, a record corresponding to the entity. The record is selected based at least in part on the plurality of representations of the entities and based at least in part on a context of the mention of the entity in the document. The entity linking service generates output comprising a reference to the selected record in the one or more private databases.
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Patent Agency Ranking
公开(公告)号：US11847406B1
公开(公告)日：2023-12-19
申请号：US17217807
申请日：2021-03-30
Applicant: Amazon Technologies, Inc.
Inventor： Sunil Mallya Kasaragod , Yahor Pushkin , Saman Zarandioon , Graham Vintcent Horwood , Miguel Ballesteros Martinez , Yogarshi Paritosh Vyas , Yinxiao Zhang , Diego Marcheggiani , Yaser Al-Onaizan , Xuan Zhu , Liutong Zhou , Yusheng Xie , Aruni Roy Chowdhury , Bo Pang
IPC: G06F17/00 , G06F40/143 , G06F40/169 , G06N20/00 , G06F40/154 , G06F40/103 , G06F40/284
CPC classification number: G06F40/143 , G06F40/103 , G06F40/154 , G06F40/169 , G06F40/284 , G06N20/00
Abstract: Techniques for performing natural language processing (NLP) on semi-structured data are described. An exemplary method includes receiving a semi-structured document to perform NLP on using a trained NLP model; converting the semi-structured document into a secondary format, wherein the secondary format includes spatial information for tokens of the semi-structured document; flattening the converted, secondary formatted semi-structured document into a Unicode Transformation Format text file; performing NLP on the Unicode Transformation Format text file using the trained NLP model; and providing a result of the NLP to a requester.
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公开(公告)号：US11734937B1
公开(公告)日：2023-08-22
申请号：US16733079
申请日：2020-01-02
Applicant: Amazon Technologies, Inc.
Inventor： Yahor Pushkin , Sravan Babu Bodapati , Rishita Rajal Anubhai , Dimitrios Soulios , Yaser Al-Onaizan
CPC classification number: G06V30/10 , G06F18/2155 , G06N5/04 , G06N20/20
Abstract: Techniques for creating a text classifier machine learning (ML) model are described. According to some embodiments, a language processing service finetunes a language ML model on unlabeled documents of a user, and then trains that finetuned language ML model on labeled documents of the user to be a text classifier that is customized for that user’s domain, e.g., the user’s documents. Additionally, the finetuned language ML model may be trained on labeled documents of the user, for prediction objectives for unlabeled data, before being trained as the text classifier.
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公开(公告)号：US20250029129A1
公开(公告)日：2025-01-23
申请号：US18908673
申请日：2024-10-07
Applicant: Amazon Technologies, Inc.
Inventor： Sunil Mallya Kasaragod , Abhinav Goyal , Yahor Pushkin , Srikanth Doss Kadarundalagi Raghura , Rishita Rajal Anubhai , Kasturi Bhattacharjee , Smaranda Muresan , Siddharth Chaitanyakumar Varia , Federico Torreti
IPC: G06Q30/0204 , G06F40/205 , G06F40/284 , G06Q10/0631
Abstract: A global segmenting and analysis service of a provider network may receive documents (e.g., posts, product reviews) from different applications. The service may analyze the documents to identify target entities and sentiment. The service may generate different levels of sentiment data and store data into a segmented database. For example, the service may store within-document level sentiment, document-level sentiment, and multi-document level sentiment for a target entity. The service may also update the entity taxonomy automatically or with only a small number of sample documents. The client may query the service for the segmented sentiment data.
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公开(公告)号：US11755536B1
公开(公告)日：2023-09-12
申请号：US16740263
申请日：2020-01-10
Applicant: Amazon Technologies, Inc.
Inventor： Yahor Pushkin
CPC classification number: G06F16/1734 , G06F11/1464 , G06F11/3495 , G06F16/168 , G06F16/219 , G06F2201/84
Abstract: A data lineage system tracks performance of data flows through different transformations independent of the systems that perform the transformations. A data flow model is maintained as a graph in the data lineage system that is updated by data processors to include performance history of different transformations in the data flow. Subsequent analyses of the data flow model, such as tracing particular data, can be supported using the recorded performance information in the graph of the data flow model.
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公开(公告)号：US12141827B1
公开(公告)日：2024-11-12
申请号：US17548055
申请日：2021-12-10
Applicant: Amazon Technologies, Inc.
Inventor： Sunil Mallya Kasaragod , Abhinav Goyal , Yahor Pushkin , Srikanth Doss Kadarundalagi Raghura , Rishita Rajal Anubhai , Kasturi Bhattacharjee , Smaranda Muresan , Siddharth Chaitanyakumar Varia , Federico Torreti
IPC: G06F40/284 , G06F40/205 , G06Q10/0631 , G06Q30/0204
Abstract: A global segmenting and analysis service of a provider network may receive documents (e.g., posts, product reviews) from different applications. The service may analyze the documents to identify target entities and sentiment. The service may generate different levels of sentiment data and store data into a segmented database. For example, the service may store within-document level sentiment, document-level sentiment, and multi-document level sentiment for a target entity. The service may also update the entity taxonomy automatically or with only a small number of sample documents. The client may query the service for the segmented sentiment data.
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