|
Title:
|
Automatic Recognition of Organization Names in English Business News
|
|
Author:
|
Friederike Mallchok
|
|
Email:
|
click here to access email
|
|
Homepage:
|
http://www.cis.uni-muenchen.de/~schmidt/
|
|
Degree Awarded:
|
Ludwig-Maximilians-Universität München
, Centrum für Informations- und Sprachverarbeitung
|
|
Degree Date:
|
2004
|
|
Linguistic Subfield(s):
|
Computational Linguistics
|
|
Subject Language(s):
|
English
|
|
Director(s):
|
Franz Guenthner
Richard Janney
Klaus Schulz
|
|
|
Abstract:
|
|
|
The goal of the research project was to prove that the magnitude of the increase in recall and precision of named entity recognition justifies a separate and language specific treatment of each kind of entity in every domain. The hypotheses that by using Local Grammars, the NER task can be solved with the additional side benefit of gaining further information about the named entity from its context, was to either be corroborated or disproved. The domain and language that was focused on are online business news written in English.
|
|
|
E-mail this message to a friend
