@inproceedings{touileb-etal-2024-eden,
    title = "{EDEN}: A Dataset for Event Detection in {N}orwegian News",
    author = "Touileb, Samia  and
      Murstad, Jeanett  and
      M{\ae}hlum, Petter  and
      Steskal, Lubos  and
      Storset, Lilja Charlotte  and
      You, Huiling  and
      {\O}vrelid, Lilja",
    editor = "Calzolari, Nicoletta  and
      Kan, Min-Yen  and
      Hoste, Veronique  and
      Lenci, Alessandro  and
      Sakti, Sakriani  and
      Xue, Nianwen",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.lrec-main.488",
    pages = "5495--5506",
    abstract = "We present EDEN, the first Norwegian dataset annotated with event information at the sentence level, adapting the widely used ACE event schema to Norwegian. The paper describes the manual annotation of Norwegian text as well as transcribed speech in the news domain, together with inter-annotator agreement and discussions of relevant dataset statistics. We also present preliminary modeling results using a graph-based event parser. The resulting dataset will be freely available for download and use.",
}

We present EDEN, the first Norwegian dataset annotated with event information at the sentence level, adapting the widely used ACE event schema to Norwegian. The paper describes the manual annotation of Norwegian text as well as transcribed speech in the news domain, together with inter-annotator agreement and discussions of relevant dataset statistics. We also present preliminary modeling results using a graph-based event parser. The resulting dataset will be freely available for download and use.
Touileb, Samia Murstad, Jeanett M{\ae}hlum, Petter Steskal, Lubos Storset, Lilja Charlotte You, Huiling {\O}vrelid, Lilja
EDEN: A Dataset for Event Detection in Norwegian News