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Automatic Identification of Synonym Relations in the Dutch Parliament’s Thesaurus

Aga, Rosa Tsegaye; Wartena, Christian; Lange, Otto; Aders, Nelleke

Abstract:
For indexing archived documents the Dutch Parliament uses a specialized thesaurus. For good results for full text retrieval and automatic classification it turns out to be important to add more synonyms to the existing thesaurus terms. In the present work we investigate the possibilities to find synonyms for terms of the parliaments thesaurus automatically. We propose to use distributional similarity (DS). In an experiment with pairs of synonyms and non-synonyms we train and test a classifier using distributional similarity and string similarity. Using ten-fold cross validation we were able to classify 75% of the pairs of a set of 6000 word pairs correctly.


Zugehörige Institution(en) am KIT Institut für Informationswirtschaft und Marketing (IISM)
Publikationstyp Zeitschriftenaufsatz
Jahr 2017
Sprache Englisch
Identifikator DOI: 10.5445/KSP/1000058749/23
ISSN: 2363-9881
URN: urn:nbn:de:swb:90-734255
KITopen ID: 1000073425
Erschienen in Archives of Data Science, Series A (Online First)
Band 2
Heft 1
Seiten 12 S. online
Lizenz CC BY-SA 4.0: Creative Commons Namensnennung – Weitergabe unter gleichen Bedingungen 4.0 International
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