Information extraction system
Abstract
An information extraction system and methods of operating the system are provided. In particular, an information extraction system for performing meta-extraction of named entities of people, organizations, and locations as well as relationships and events from text documents are described herein.
- Inventors:
- Issue Date:
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1130965
- Patent Number(s):
- 8725666
- Application Number:
- 13/037,284
- Assignee:
- Lawrence Livermore National Security, LLC (Livermore, CA)
- Patent Classifications (CPCs):
-
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
- DOE Contract Number:
- AC52-07NA27344
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING
Citation Formats
Lemmond, Tracy D, Hanley, William G, Guensche, Joseph Wendell, Perry, Nathan C, Nitao, John J, Kidwell, Paul Brandon, Boakye, Kofi Agyeman, Glaser, Ron E, and Prenger, Ryan James. Information extraction system. United States: N. p., 2014.
Web.
Lemmond, Tracy D, Hanley, William G, Guensche, Joseph Wendell, Perry, Nathan C, Nitao, John J, Kidwell, Paul Brandon, Boakye, Kofi Agyeman, Glaser, Ron E, & Prenger, Ryan James. Information extraction system. United States.
Lemmond, Tracy D, Hanley, William G, Guensche, Joseph Wendell, Perry, Nathan C, Nitao, John J, Kidwell, Paul Brandon, Boakye, Kofi Agyeman, Glaser, Ron E, and Prenger, Ryan James. Tue .
"Information extraction system". United States. https://www.osti.gov/servlets/purl/1130965.
@article{osti_1130965,
title = {Information extraction system},
author = {Lemmond, Tracy D and Hanley, William G and Guensche, Joseph Wendell and Perry, Nathan C and Nitao, John J and Kidwell, Paul Brandon and Boakye, Kofi Agyeman and Glaser, Ron E and Prenger, Ryan James},
abstractNote = {An information extraction system and methods of operating the system are provided. In particular, an information extraction system for performing meta-extraction of named entities of people, organizations, and locations as well as relationships and events from text documents are described herein.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue May 13 00:00:00 EDT 2014},
month = {Tue May 13 00:00:00 EDT 2014}
}
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