Towards a Framework for Comparing Automatic Term Recognition Methods

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F09%3APU82700" target="_blank" >RIV/00216305:26230/09:PU82700 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Towards a Framework for Comparing Automatic Term Recognition Methods

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2009

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Znalosti 2009

ISBN

978-80-227-3015-0

ISSN

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e-ISSN

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Number of pages

12

Pages from-to

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Publisher name

Faculty of Informatics and Information Technology STU

Place of publication

Bratislava

Event location

Brno

Event date

Feb 4, 2009

Type of event by nationality

CST - Celostátní akce

UT code for WoS article

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