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Eliminating fuzzy duplicates in crowdsourced lexical resources
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Abstract:
Collaboratively created lexical resources is a trending approach to creating high quality thesauri in a short time span at a remarkably low price. The key idea is to invite non-expert participants to express and share their knowledge with the aim of constructing a resource. However, this approach tends to be noisy and error-prone, thus making data cleansing a highly topical task to perform. In this paper, we study different techniques for synset deduplication including machine- and crowd-based ones. Eventually, we put forward an approach that can solve the deduplication problem fully automatically, with the quality comparable to the expert-based approach.
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Keyword:
004 Informatik
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URL: https://madoc.bib.uni-mannheim.de/43369/ https://ub-madoc.bib.uni-mannheim.de/43369 https://madoc.bib.uni-mannheim.de/43369/1/Kiselev-GWC2016.pdf
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