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：US12086548B2

公开(公告)日：2024-09-10

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

CPC classification number: 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.

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：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.

公开(公告)号：US20240202466A1

公开(公告)日：2024-06-20

申请号：US18067674

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 ,  Vittorio Castelli

IPC: G06F40/56 ,  G06N5/04

CPC classification number: G06F40/56 ,  G06N5/04

Abstract: Prompt development techniques are implemented for tuning natural language processing machine learning models using selected prompts from a prompt task collection. A prompt development system may support requests to further adapt a pre-trained natural language processing machine learning model to tune the pre-trained natural language processing machine learning model for use with a selected prompt. Evaluation of the tuned natural language processing machine learning model may be performed and provided as a result.

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.