The Aro Corporation

Nolan Lawson

Kenji Kawai

Michael Perkowitz

Kevin Francis Eustice

Patrick James Ferrel

Jonathan D Lazarus

Meliha Yetisgen-Yildiz

A social network model, based on data relevant to a user, is used for semantic processing to enable improved entity recognition among text accessed by the user. An entity extraction module of the server, with reference to a general training corpus, general gazetteers, user-specific gazetteers, and entity models, parses text to identify entities. The entities may be, for example, people, organizations, or locations. A social network module of the server builds the social network model implicit in the data accessed by the user. The social network model includes the relationships between entities and an indication of the strength of each relationship. The social network module is also used to disambiguate names and unify entities based on the social network model.

Growing community of inventors

Lynwood, WA, United States of America

Nolan Lawson