21.2874, Books: Computational Linguistics/Lexicography: Westerhout

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LINGUIST List: Vol-21-2874. Sat Jul 10 2010. ISSN: 1068 - 4875.

Subject: 21.2874, Books: Computational Linguistics/Lexicography: Westerhout

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1)
Date: 15-Jun-2010
From: Mariëtte Bonenkamp < lot at uu.nl >
Subject: Definition Extraction for Glossary Creation: Westerhout
 

	
-------------------------Message 1 ---------------------------------- 
Date: Sat, 10 Jul 2010 21:46:45
From: Mariëtte Bonenkamp [lot at uu.nl]
Subject: Definition Extraction for Glossary Creation: Westerhout

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Title: Definition Extraction for Glossary Creation 
Subtitle: A study on extracting definitions for semi-automatic glossary creation in
Dutch
 
Series Title: LOT Dissertation Series  

Publication Year: 2010 
Publisher: Netherlands Graduate School of Linguistics / Landelijke - LOT
	   http://www.lotpublications.nl/
	
Author: Eline Westerhout

Paperback: ISBN:  9789460930348 Pages:  Price: U.K. £ 24.86


Abstract:

The central topic of this thesis is the automatic extraction of definitions 
from text. Definition extraction can play a role in various applications
including the semi-automatic development of glossaries in an eLearning
context, which constitutes the main focus of this dissertation. A glossary
provides definitions
for the most important terms that are discussed in a text. The
semi-automatic extraction approach presented in this study consists of two
phases. As a first step, a method entirely based on lexico-syntactic
patterns has been used to distinguish between definitions and
non-definitions. A corpus consisting of 600 definitions has been employed
to identify recurrent definition patterns. Since many of these patterns are
not unique to definitions, a second step was employed to reduce the number
of non-definitions identified. It has been investigated whether other
textual characteristics can contribute to the correct classification of
definitions, in addition to the lexico-syntactic patterns. The properties
that have been examined vary from the importance of the defined word
(phrase) within a text to the layout of the definition. Machine learning
techniques have been employed to identify which are the most relevant
(combinations of) definition properties. The results of this dissertation
are relevant for researchers in linguistics and lexicography as well as for
the development of language technology applications. 



Linguistic Field(s): Computational Linguistics
                     Lexicography

Subject Language(s): Dutch (nld)


Written In: English  (eng)
	
See this book announcement on our website: 
http://linguistlist.org/pubs/books/get-book.cfm?BookID=48869


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