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

  • 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.

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Metadaten
Author:Rosa Tsegaye Aga, Christian WartenaORCiDGND, Otto Lange, Nelleke Aders
URN:urn:nbn:de:swb:90-734255
DOI:https://doi.org/10.5445/KSP/1000058749/23
ISSN:2363-9881
Parent Title (English):Archives of Data Science, Series A
Document Type:Article
Language:English
Year of Completion:2017
Release Date:2017/09/20
GND Keyword:Automatische Identifikation; Synononym; Thesaurus
Volume:2017
Issue:2(1)
Institutes:Fakultät III - Medien, Information und Design
DDC classes:020 Bibliotheks- und Informationswissenschaft
Licence (German):License LogoCreative Commons - Namensnennung-Weitergabe unter gleichen Bedingungen 4.0