Conference paper

KNOTH Petr, SCHMIDT Marek, SMRŽ Pavel and ZDRÁHAL Zdeněk. Towards a Framework for Comparing Automatic Term Recognition Methods. In: Znalosti 2009. Bratislava: Faculty of Informatics and Information Technology Slovak University of Technology in Bratislava, 2009, pp. 83-94. ISBN 978-80-227-3015-0.
Publication language:english
Original title:Towards a Framework for Comparing Automatic Term Recognition Methods
Title (cs):Směrem k rámci pro srovnání automatických metod rozpoznávání termínů
Pages:83-94
Proceedings:Znalosti 2009
Conference:Znalosti 2009
Series:8th Annual Conference, Brno
Place:Bratislava, SK
Year:2009
ISBN:978-80-227-3015-0
Publisher:Faculty of Informatics and Information Technology Slovak University of Technology in Bratislava
Keywords
automatic term recognition, keyword extraction, evaluation
Annotation
Automatic Term Recognition focuses on the extraction of words and multi-word expressions that are significant for a given domain. There is a considerable interest in using ATR for automatic metadata generation, creation of thesauri and terminological glossaries, keyword extraction, ontology building, etc. This paper introduces a new ATR evaluation framework that consists of the open-source referential implementation of advanced ATR algorithms, annotated datasets and tools for the task-specific evaluation. We demonstrate the advantages of the framework on an experimental study comparing the base ATR methods as well as their combinations under various conditions. The created platform is freely available and prepared for extensions by other researchers.
BibTeX:
@INPROCEEDINGS{
   author = {Petr Knoth and Marek Schmidt and Pavel Smr{\v{z}} and
	Zden{\v{e}}k Zdr{\'{a}}hal},
   title = {Towards a Framework for Comparing Automatic Term Recognition
	Methods},
   pages = {83--94},
   booktitle = {Znalosti 2009},
   series = {8th Annual Conference, Brno},
   year = {2009},
   location = {Bratislava, SK},
   publisher = {Faculty of Informatics and Information Technology Slovak
	University of Technology in Bratislava},
   ISBN = {978-80-227-3015-0},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.en.iso-8859-2?id=9065}
}

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