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.
| Author: | Rosa Tsegaye Aga, Christian WartenaORCiDGND, Otto Lange, Nelleke Aders |
|---|---|
| URN: | urn:nbn:de:swb:90-734255 |
| DOI: | https://doi.org/10.25968/opus-1145 |
| DOI original: | 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 |
| Publishing Institution: | Hochschule Hannover |
| Release Date: | 2017/09/20 |
| GND Keyword: | Synononym; Automatische Identifikation; Thesaurus |
| Volume: | 2017 |
| Issue: | 2(1) |
| Link to catalogue: | 1751852393 |
| Institutes: | Fakultät III - Medien, Information und Design |
| DDC classes: | 020 Bibliotheks- und Informationswissenschaft |
| Licence (German): |  Creative Commons - CC BY-SA - Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International |
