@inproceedings{touileb-etal-2018-automatic,
    title = "Automatic identification of unknown names with specific roles",
    author = "Touileb, Samia  and
      Pedersen, Truls  and
      Sj{\o}vaag, Helle",
    editor = "Alex, Beatrice  and
      Degaetano-Ortlieb, Stefania  and
      Feldman, Anna  and
      Kazantseva, Anna  and
      Reiter, Nils  and
      Szpakowicz, Stan",
    booktitle = "Proceedings of the Second Joint {SIGHUM} Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature",
    month = aug,
    year = "2018",
    address = "Santa Fe, New Mexico",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/W18-4517/",
    pages = "150--158",
    abstract = "Automatically identifying persons in a particular role within a large corpus can be a difficult task, especially if you don`t know who you are actually looking for. Resources compiling names of persons can be available, but no exhaustive lists exist. However, such lists usually contain known names that are {\textquotedblleft}visible{\textquotedblright} in the national public sphere, and tend to ignore the marginal and international ones. In this article we propose a method for automatically generating suggestions of names found in a corpus of Norwegian news articles, and which {\textquotedblleft}naturally{\textquotedblright} belong to a given initial list of members, and that were not known (compiled in a list) beforehand. The approach is based, in part, on the assumption that surface level syntactic features reveal parts of the underlying semantic content and can help uncover the structure of the language."
}