@inproceedings{ohishi-etal-2006-statistical,
    title = "Statistical Analysis for Thesaurus Construction using an Encyclopedic Corpus",
    author = "Ohishi, Yasunori  and
      Itou, Katunobu  and
      Takeda, Kazuya  and
      Fujii, Atsushi",
    editor = "Calzolari, Nicoletta  and
      Choukri, Khalid  and
      Gangemi, Aldo  and
      Maegaard, Bente  and
      Mariani, Joseph  and
      Odijk, Jan  and
      Tapias, Daniel",
    booktitle = "Proceedings of the Fifth International Conference on Language Resources and Evaluation ({LREC}{'}06)",
    month = may,
    year = "2006",
    address = "Genoa, Italy",
    publisher = "European Language Resources Association (ELRA)",
    url = "https://preview.aclanthology.org/declare-journal/L06-1042/",
    abstract = "This paper proposes a discrimination method for hierarchical relations between word pairs. The method is a statistical one using an ``encyclopedic corpus'' extracted and organized from Web pages. In the proposed method, we use the statistical nature that hyponyms' descriptions tend to include hypernyms whereas hypernyms' descriptions do not include all of the hyponyms. Experimental results show that the method detected 61.7{\%} of the relations in an actual thesaurus."
}