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KNOTH, P. SCHMIDT, M. SMRŽ, P. ZDRÁHAL, Z.
Original Title
Towards a Framework for Comparing Automatic Term Recognition Methods
Type
article in a collection out of WoS and Scopus
Language
English
Original Abstract
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.
Keywords
automatic term recognition, keyword extraction, evaluation
Authors
KNOTH, P.; SCHMIDT, M.; SMRŽ, P.; ZDRÁHAL, Z.
RIV year
2009
Released
6. 2. 2009
Publisher
Faculty of Informatics and Information Technology Slovak University of Technology in Bratislava
Location
Bratislava
ISBN
978-80-227-3015-0
Book
Znalosti 2009
Edition
8th Annual Conference, Brno
Pages from
83
Pages to
94
Pages count
12
BibTex
@inproceedings{BUT33745, author="Petr {Knoth} and Marek {Schmidt} and Pavel {Smrž} and Zdeněk {Zdráhal}", title="Towards a Framework for Comparing Automatic Term Recognition Methods", booktitle="Znalosti 2009", year="2009", series="8th Annual Conference, Brno", pages="83--94", publisher="Faculty of Informatics and Information Technology Slovak University of Technology in Bratislava", address="Bratislava", isbn="978-80-227-3015-0" }