Automatic Extraction of Hypernyms and Hyponyms from Russian Texts

The paper describes a rule-based approach for hypernym and hyponym extraction from Russian texts. For this task we employ finite state transducers (FSTs). We developed 6 finite state transducers that encode 6 lexicosyntactic patterns, which show a good precision on Russian DBpedia: 79.5% of the matched contexts are correct.