@inproceedings{touileb-etal-2024-eden-dataset,
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.",
}
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%0 Conference Proceedings
%T EDEN: A Dataset for Event Detection in Norwegian News
%A Touileb, Samia
%A Murstad, Jeanett
%A Mæhlum, Petter
%A Steskal, Lubos
%A Storset, Lilja Charlotte
%A You, Huiling
%A Øvrelid, Lilja
%Y Calzolari, Nicoletta
%Y Kan, Min-Yen
%Y Hoste, Veronique
%Y Lenci, Alessandro
%Y Sakti, Sakriani
%Y Xue, Nianwen
%S Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F touileb-etal-2024-eden-dataset
%X 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.
%U https://aclanthology.org/2024.lrec-main.488
%P 5495-5506
Markdown (Informal)
[EDEN: A Dataset for Event Detection in Norwegian News](https://aclanthology.org/2024.lrec-main.488) (Touileb et al., LREC-COLING 2024)
ACL
- Samia Touileb, Jeanett Murstad, Petter Mæhlum, Lubos Steskal, Lilja Charlotte Storset, Huiling You, and Lilja Øvrelid. 2024. EDEN: A Dataset for Event Detection in Norwegian News. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 5495–5506, Torino, Italia. ELRA and ICCL.