29.246, Diss: Computational Linguistics; Text/Corpus Linguistics: Friederike Yvonne Helene Mallchok ''Automatic Recognition of Organization Names in English Business News''

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LINGUIST List: Vol-29-246. Tue Jan 16 2018. ISSN: 1069 - 4875.

Subject: 29.246, Diss: Computational Linguistics; Text/Corpus Linguistics: Friederike Yvonne Helene Mallchok ''Automatic Recognition of Organization Names in English Business News''

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Date: Tue, 16 Jan 2018 11:28:27
From: Friederike Mallchok [friederike at mallchok.com]
Subject: Automatic Recognition of Organization Names in English Business News

 
Institution: Ludwig-Maximilians-Universität München 
Program: Centrum für Informations- und Sprachverarbeitung 
Dissertation Status: Completed 
Degree Date: 2004 

Author: Friederike Yvonne Helene Mallchok

Dissertation Title: Automatic Recognition of Organization Names in English
Business News 

Linguistic Field(s): Computational Linguistics
                     Text/Corpus Linguistics


Dissertation Director(s):
Franz Guenthner
Klaus Schulz
Richard Janney

Dissertation 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.




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