@inproceedings{bigeard-etal-2022-introducing,
    title = "Introducing Sign Languages to a Multilingual {W}ordnet: Bootstrapping Corpora and Lexical Resources of {G}reek {S}ign {L}anguage and {G}erman {S}ign {L}anguage",
    author = "Bigeard, Sam  and
      Schulder, Marc  and
      Kopf, Maria  and
      Hanke, Thomas  and
      Vasilaki, Kyriaki  and
      Vacalopoulou, Anna  and
      Goulas, Theodore  and
      Dimou, Athanasia-Lida  and
      Fotinea, Stavroula-Evita  and
      Efthimiou, Eleni",
    editor = "Efthimiou, Eleni  and
      Fotinea, Stavroula-Evita  and
      Hanke, Thomas  and
      Hochgesang, Julie A.  and
      Kristoffersen, Jette  and
      Mesch, Johanna  and
      Schulder, Marc",
    booktitle = "Proceedings of the LREC2022 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources",
    month = jun,
    year = "2022",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://aclanthology.org/2022.signlang-1.2",
    pages = "9--15",
    abstract = "Wordnets have been a popular lexical resource type for many years. Their sense-based representation of lexical items and numerous relation structures have been used for a variety of computational and linguistic applications. The inclusion of different wordnets into multilingual wordnet networks has further extended their use into the realm of cross-lingual research. Wordnets have been released for many spoken languages. Research has also been carried out into the creation of wordnets for several sign languages, but none have yet resulted in publicly available datasets. This article presents our own efforts towards an inclusion of sign languages in a multilingual wordnet, starting with Greek Sign Language (GSL) and German Sign Language (DGS). Based on differences in available language resources between GSL and DGS, we trial two workflows with different coverage priorities. We also explore how synergies between both workflows can be leveraged and how future work on additional sign languages could profit from building on existing sign language wordnet data. The results of our work are made publicly available.",
}