Residential Transitions, Inc. Sep 2019 - Jan 2020
Ils Practitioner
Adirondack Camp Jun 2017 - Aug 2019
Summer Camp Counselor
Cole Library Sep 2015 - May 2019
Library Desk Worker and Shelfer
Sep 2015 - May 2019
Customer Service Representative
Education:
Cornell College 2015 - 2019
Holland Public School 2010 - 2015
Holland High School
Holland New Tech High School
Skills:
Music Composition Microsoft Office Customer Service Social Media Research Microsoft Excel Teaching Microsoft Word Music Sibelius Protools Microsoft Powerpoint Advertising Online Advertising Cultural Anthropology Ethnomusicology Music Theory Score Transposition
Drake University 1996 - 1999
Doctor of Jurisprudence, Doctorates, Law
Iowa State University 1991 - 1996
Bachelors, Bachelor of Business Administration, Marketing, Political Science
Marc Noel Light - Saint Paul MN, US Craig Alan Larson - Minneapolis MN, US Kevin Scott Koch - Grand Junction CO, US David Wayne DeMoss - Minneapolis MN, US
International Classification:
G06F 17/30
US Classification:
707736, 707769, 707E17044, 707E17014
Abstract:
For automated text processing, the inventors devised, among other things, an exemplary system that includes an entity tagger, an entity resolver, a text segment classifier, and a relationship extractor. The entity tagger receives an input text segment, and tags named entities with the segment as being a person, company, or place. The entity resolver accesses authority files, and associates the persons and companies named in the text segment with specific entries in the files. The text segment classifier determines whether the text segment includes a relationship event, such as job-change event or merger and acquisition event, and if an event is detected, the relationship extractor determines the event role of entities named in the segment. For example, the extractor determines for a merger and acquisition event, which named company was the acquirer and which was acquired.