@inproceedings{lange-etal-2023-multilingual,
    title = "Multilingual Normalization of Temporal Expressions with Masked Language Models",
    author = {Lange, Lukas  and
      Str{\"o}tgen, Jannik  and
      Adel, Heike  and
      Klakow, Dietrich},
    editor = "Vlachos, Andreas  and
      Augenstein, Isabelle",
    booktitle = "Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics",
    month = may,
    year = "2023",
    address = "Dubrovnik, Croatia",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2023.eacl-main.84/",
    doi = "10.18653/v1/2023.eacl-main.84",
    pages = "1174--1186",
    abstract = "The detection and normalization of temporal expressions is an important task and preprocessing step for many applications. However, prior work on normalization is rule-based, which severely limits the applicability in real-world multilingual settings, due to the costly creation of new rules. We propose a novel neural method for normalizing temporal expressions based on masked language modeling. Our multilingual method outperforms prior rule-based systems in many languages, and in particular, for low-resource languages with performance improvements of up to 33 F1 on average compared to the state of the art."
}