Publication detail
Towards a Framework for Comparing Automatic Term Recognition Methods
KNOTH, P. SCHMIDT, M. SMRŽ, P. ZDRÁHAL, Z.
Original Title
Towards a Framework for Comparing Automatic Term Recognition Methods
English Title
Towards a Framework for Comparing Automatic Term Recognition Methods
Type
conference paper
Language
en
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.
English 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
RIV year
2009
Released
06.02.2009
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
Edition number
NEUVEDEN
Pages from
83
Pages to
94
Pages count
12
Documents
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",
annote="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.",
address="Faculty of Informatics and Information Technology Slovak University of Technology in Bratislava",
booktitle="Znalosti 2009",
chapter="33745",
edition="8th Annual Conference, Brno",
howpublished="print",
institution="Faculty of Informatics and Information Technology Slovak University of Technology in Bratislava",
year="2009",
month="february",
pages="83--94",
publisher="Faculty of Informatics and Information Technology Slovak University of Technology in Bratislava",
type="conference paper"
}