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"
}