Amazon Technologies, Inc.

Sameer Karnik

Sunil Mallya Kasaragod

Yahor Pushkin

Yaser Al-Onaizan

Miguel Ballesteros Martinez

Graham Vintcent Horwood

Abhinav Goyal

Ravindra Manjunatha

Sravan Babu Bodapati

Rishita Rajal Anubhai

Yogarshi Paritosh Vyas

Syed Kashif Hussain Shah

Kalpit Dixit

Srikanth Doss Kadarundalagi Raghura

Yinxiao Zhang

Kapil Singh Badesara

Jie Ma

Shuai Wang

Alessandra Brusadin

Jonathan Steuck

Alok Kumar Parmesh

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.

Context-sensitive linking of entities to private databases

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.

Event extraction from documents with co-reference

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.

Hierarchical system and method for identifying sensitive content in data

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Issaquah, WA, United States of America

Sameer Karnik