公开(公告)号：US20180143967A1

公开(公告)日：2018-05-24

申请号：US15360814

申请日：2016-11-23

Applicant: Amazon Technologies, Inc.

Inventor： VIKRAM SATHYANARAYANA ANBAZHAGAN ,  RAMA KRISHNA SANDEEP POKKUNURI ,  SWAMINATHAN SIVASUBRAMANIAN ,  STEFANO STEFANI ,  VLADIMIR ZHUKOV

IPC: G06F17/27 ,  G06N99/00 ,  G10L15/22 ,  G10L15/18

CPC classification number: G06F17/279 ,  G06F8/30 ,  G06F17/2785 ,  G06N20/00 ,  G10L15/183 ,  G10L15/22 ,  G10L2015/228

Abstract: A natural language understanding model is trained using respective natural language example inputs corresponding to a plurality of applications. A determination is made as to whether a value of a first parameter of a first application is to be obtained using a natural language interaction. Using the natural language understanding model, at least a portion of the first application is generated.

公开(公告)号：US20180143857A1

公开(公告)日：2018-05-24

申请号：US15360818

申请日：2016-11-23

Applicant: Amazon Technologies, Inc.

Inventor： VIKRAM SATHYANARAYANA ANBAZHAGAN ,  SWAMINATHAN SIVASUBRAMANIAN ,  STEFANO STEFANI ,  VLADIMIR ZHUKOV

IPC: G06F9/50 ,  G06F9/48 ,  G06F9/54

CPC classification number: G06F9/4843

Abstract: A determination is made as to whether a value of a first parameter of a first application is to be obtained using a natural language interaction. Based on received input, a first service of a plurality of services is identified. The first service is to be used to perform a first task associated with the first parameter. Portions of the first application to determine the value of the first parameter and to invoke the first service are generated.

公开(公告)号：US20160378845A1

公开(公告)日：2016-12-29

申请号：US15250435

申请日：2016-08-29

Applicant: Amazon Technologies, Inc.

Inventor： SWAMINATHAN SIVASUBRAMANIAN ,  STEFANO STEFANI ,  CHIRANJEEB BURAGAHAIN ,  RANDE A. BLACKMAN ,  TIMOTHY ANDREW RATH ,  RAYMOND S. BRADFORD ,  GRANT ALEXANDER MACDONALD MCALISTER ,  JAKUB KULESZA ,  JAMES R. HAMILTON ,  LUIS FELIPE CABRERA

IPC: G06F17/30 ,  H04L29/08

CPC classification number: G06F17/30584 ,  G06F9/5061 ,  G06F12/0848 ,  G06F17/30286 ,  G06F17/30289 ,  G06F17/30303 ,  G06F17/30306 ,  G06F17/30321 ,  G06F17/30339 ,  G06F17/3056 ,  H04L67/02 ,  H04L67/1097 ,  H04L67/2804 ,  Y10S707/968 ,  Y10S707/972

Abstract: A system that implements a scalable data storage service may maintain tables in a non-relational data store on behalf of clients. The system may provide a Web services interface through which service requests are received, and an API usable to request that a table be created, deleted, or described; that an item be stored, retrieved, deleted, or its attributes modified; or that a table be queried (or scanned) with filtered items and/or their attributes returned. An asynchronous workflow may be invoked to create or delete a table. Items stored in tables may be partitioned and indexed using a simple or composite primary key. The system may not impose pre-defined limits on table size, and may employ a flexible schema. The service may provide a best-effort or committed throughput model. The system may automatically scale and/or re-partition tables in response to detecting workload changes, node failures, or other conditions or anomalies.