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KNOTH, P. SCHMIDT, M. SMRŽ, P. ZDRÁHAL, Z.
Originální název
Towards a Framework for Comparing Automatic Term Recognition Methods
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
automatic term recognition, keyword extraction, evaluation
Autoři
KNOTH, P.; SCHMIDT, M.; SMRŽ, P.; ZDRÁHAL, Z.
Rok RIV
2009
Vydáno
6. 2. 2009
Nakladatel
Faculty of Informatics and Information Technology Slovak University of Technology in Bratislava
Místo
Bratislava
ISBN
978-80-227-3015-0
Kniha
Znalosti 2009
Edice
8th Annual Conference, Brno
Strany od
83
Strany do
94
Strany počet
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" }