Kensho Technologies, LLC

Michael Ramsey

Domenic Puzio

Aron Szanto

Sireesh Gururaja

Benjamin Hsu

Gabriel Parlato-Altay

Anthony Liu

Justin Clay Austin

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

Methods and systems for dynamic data clustering. One of the methods includes: i) receiving a vector representing a (data) item; in response to receiving the vector: a) obtaining clusters within at least one specified metric of the vector to determine a neighborhood of clusters; b) filtering the neighborhood of clusters based at least in part on an age parameter of the clusters to determine whether there are filtered clusters; c) creating a new cluster based at least in part on the item when there are no filtered clusters; and d) storing the new cluster data for the new cluster, wherein the obtaining, filtering, creating and storing steps are performed in near real-time from receipt of the vector; ii) receiving a request for cluster data; and iii) providing cluster data including the new cluster data in response to the request.

Dynamic data clustering

Growing community of inventors

Arlington, VA, United States of America

Michael Ramsey