2014 | OriginalPaper | Buchkapitel
Words Worth Attention: Predicting Words of the Week on the Russian Wiktionary
verfasst von : Dmitry Ustalov
Erschienen in: Knowledge Engineering and the Semantic Web
Verlag: Springer International Publishing
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Such collaborative lexicography projects as Wiktionary are becoming strong competitors for traditional semantic resources just as Wikipedia has already become for expert-built knowledge bases. Keeping the data obtained from the general public crowd in good quality is a very challenging problem because of the fuzzy nature of the crowdsourcing phenomena. The presented study focuses on predicting the
word of the week
articles on the Russian Wiktionary by treating this problem as a binary classification task. The best proposed model is based on the Naïve Bayes classifier and has weighted average precision, recall, and
F
1
-measure values of 87% by evaluating on the provided dataset.