Amazon Technologies, Inc.

Kensho Technologies, LLC

Benjamin Hsu

Domenic Puzio

Aron Szanto

Sireesh Gururaja

Michael Ramsey

Anthony Liu

David Mordechai Sloan

Gabriel Parlato-Altay

A data-processing system identifies entities and relationships between entities that are recited in a set of documents. By identifying differently-named entities that share similar sets of relationships, the system is able to identify differently-named, but identical entities recited in the set of documents. The resulting entity and relationship map may be displayed to an end-user for intelligence analysis. In some examples, the end-user may make corrections to the relationship map which can then be used by the system to improve the inferences produced.

Graphical data display

Methods, and systems for named entity recognition and disambiguation. One of the methods includes: receiving a document; extracting a plurality of mentions within the document; clustering the plurality of mentions to produce at least one cluster; identifying a plurality of candidate entities for the cluster; pairing each candidate entity and the cluster to create a plurality of candidate entity-cluster pairings; generating features for each candidate entity-cluster pairing; and selecting an entity, from the plurality of candidate entities, for the cluster based at least in part on features of a candidate entity pairing.

Named entity recognition and disambiguation engine

Growing community of inventors

Alexandria, VA, United States of America

Benjamin Hsu