US 2022/0100963 A1Published application

Event extraction from documents with co-reference

AssigneeAmazon Technologies, Inc.

InventorsRishita 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

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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.

Claims20

Dependent claims

A system, comprising:

an event extraction service hosted by a provider network and Internet-accessible by a plurality of clients, wherein the provider network offers a plurality of services including the event extraction service, and wherein the event extraction service comprises one or more processors and one or more memories to store computer-executable instructions that, when executed, cause the one or more processors to:
receive a document comprising a sequence of tokens, wherein the document is provided by an individual one of the clients;
identify one or more event groups in the document, wherein an individual one of the event groups comprises a plurality of textual references to an occurrence of an event type, and wherein the one or more event groups are associated with one or more argument slots representing one or more semantic roles for entities with respect to the one or more event groups;
identify one or more entity groups in the document, wherein an individual one of the entity groups comprises a plurality of textual references to a real-world object type;
assign one or more of the entity groups to one or more of the argument slots;
and
provide, to the individual one of the clients, output indicating the one or more event groups and the one or more of the entity groups assigned to the one or more of the argument slots.

4 more elements

One or more non-transitory computer-readable storage media storing program instructions that, when executed on or across one or more processors, perform:

identifying, using one or more machine learning models, one or more trigger groups in a document comprising a sequence of tokens, wherein an individual one of the trigger groups comprises a plurality of textual references to an occurrence of an event type, and wherein the one or more trigger groups are associated with one or more argument slots representing one or more semantic roles for entities;
identifying, using the one or more machine learning models, one or more entities in the document, wherein an individual one of the entities comprises a textual reference to a real-world object type;
assigning, using the one or more machine learning models, one or more of the entities to one or more of the argument slots;
and
generating an output indicating the one or more trigger groups and the one or more of the entities assigned to the one or more of the argument slots.

2 more elements

Dependencies are inferred from the claim text.