Learning to Mine Definitions from Slovene Structured and Unstructured Knowledge-Rich Resources

Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC 2010)

Abstract

The paper presents an innovative approach to extract Slovene definition candidates from domain-specific corpora using morphosyntactic patterns, automatic terminology recognition and semantic tagging with wordnet senses. First, a classification model was trained on examples from Slovene Wikipedia which was then used to find well-formed definitions among the extracted candidates. The results of the experiment are encouraging, with accuracy ranging from 67% to 71%. The paper also addresses some drawbacks of the approach and suggests ways to overcome them in future work.