公开(公告)号：US20240202458A1

公开(公告)日：2024-06-20

申请号：US18067680

申请日：2022-12-16

Applicant: Amazon Technologies, Inc.

Inventor： Sheng Zha ,  Miguel Ballesteros Martinez ,  Yassine Benajiba ,  Cole Hawkins ,  Aditya Rawal ,  Dhananjay Ram ,  Min Rong Samson Tan ,  Abhinav Goyal ,  Brant Swidler

IPC: G06F40/40 ,  G06F40/279

CPC classification number: G06F40/40 ,  G06F40/279 ,  G06F40/205

Abstract: Prompt discovery is performed for identifying prompts to natural language processing machine learning models. A request to determine a prompt for a natural language processing task performed by a pre-trained natural language processing machine learning model may be received. A task classification for the natural language processing task may be determined and candidate prompts for the natural language processing prompt task collection selected. Respective prompt results for the candidate prompts are evaluated to generate a prompt recommendation for the natural language processing task.

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.

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.

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.

公开(公告)号：US11861039B1

公开(公告)日：2024-01-02

申请号：US17035437

申请日：2020-09-28

Applicant: Amazon Technologies, Inc.

Inventor： Yahor Pushkin ,  Sravan Babu Bodapati ,  Sunil Mallya Kasaragod ,  Sameer Karnik ,  Abhinav Goyal ,  Yaser Al-Onaizan ,  Ravindra Manjunatha ,  Kalpit Dixit ,  Alok Kumar Parmesh ,  Syed Kashif Hussain Shah

IPC: G06F21/62 ,  G06F16/903 ,  G06F3/06 ,  G06N20/00

CPC classification number: G06F21/6245 ,  G06F3/0619 ,  G06F3/0623 ,  G06F3/0683 ,  G06F16/90344 ,  G06N20/00

Abstract: Various embodiments of a hierarchical system or method of identifying sensitive content in data is described. In some embodiments, sensitive data classifiers local to a data storage system can analyze a plurality of data items and classify at least some data items as potentially containing sensitive data. The sensitive data classifiers can provide the classified data items to a separate sensitive data discovery component. The sensitive data discovery component can, in some embodiments, obtain the classified data items, perform a sensitive data location analysis on the classified data items to identify a location of sensitive data within some of the classified data items, and generate location information for the sensitive data within the data items containing sensitive data. The sensitive data discovery component can provide to a destination this information, in some embodiments, where the destination might redact, tokenize, highlight, or perform other actions on the located sensitive data.

公开(公告)号：US20220100967A1

公开(公告)日：2022-03-31

申请号：US17039891

申请日：2020-09-30

Applicant: Amazon Technologies, Inc.

Inventor： Yahor Pushkin ,  Rishita Rajal Anubhai ,  Sameer Karnik ,  Sunil Mallya Kasaragod ,  Abhinav Goyal ,  Yaser Al-Onaizan ,  Ashish Singh ,  Ashish Khare

IPC: G06F40/35 ,  G06K9/62 ,  G06F40/295

Abstract: Methods, systems, and computer-readable media for lifecycle management for customized natural language processing are disclosed. A natural language processing (NLP) customization service determines a task definition associated with an NLP model based (at least in part) on user input. The task definition comprises an indication of one or more tasks to be implemented using the NLP model and one or more requirements associated with use of the NLP model. The service determines the NLP model based (at least in part) on the task definition. The service trains the NLP model. The NLP model is used to perform inference for a plurality of input documents. The inference outputs a plurality of predictions based (at least in part) on the input documents. Inference data is collected based (at least in part) on the inference. The service generates a retrained NLP model based (at least in part) on the inference data.