Publication Details
Towards a Framework for Comparing Automatic Term Recognition Methods
automatic term recognition, keyword extraction, evaluation
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.
@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"
}