@inproceedings{fiser-etal-2010-learning,
    title = "Learning to Mine Definitions from {S}lovene Structured and Unstructured Knowledge-Rich Resources",
    author = "Fi{\v{s}}er, Darja  and
      Pollak, Senja  and
      Vintar, {\v{S}}pela",
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Odijk, Jan  and
      Piperidis, Stelios  and
      Rosner, Mike  and
      Tapias, Daniel",
    booktitle = "Proceedings of the Seventh International Conference on Language Resources and Evaluation ({LREC}`10)",
    month = may,
    year = "2010",
    address = "Valletta, Malta",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/L10-1089/",
    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."
}