BibTeX

@InProceedings{Sabbatino2020,
    title = "Automatic Section Recognition in Obituaries",
  author = "Sabbatino, Valentino  and
      Bostan, Laura Ana Maria  and
      Klinger, Roman",
    booktitle = "Proceedings of The 12th Language Resources and Evaluation Conference",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://www.aclweb.org/anthology/2020.lrec-1.102",
    pages = "817-825",
    abstract = "Obituaries contain information about people{'}s values across times and cultures, which makes them a useful resource for exploring cultural history. They are typically structured similarly, with sections corresponding to Personal Information, Biographical Sketch, Characteristics, Family, Gratitude, Tribute, Funeral Information and Other aspects of the person. To make this information available for further studies, we propose a statistical model which recognizes these sections. To achieve that, we collect a corpus of 20058 English obituaries from TheDaily Item, Remembering.CA and The London Free Press. The evaluation of our annotation guidelines with three annotators on 1008 obituaries shows a substantial agreement of Fleiss ÃÂº = 0.87. Formulated as an automatic segmentation task, a convolutional neural network outperforms bag-of-words and embedding-based BiLSTMs and BiLSTM-CRFs with a micro F1 = 0.81.",
    language = "English",
    ISBN = "979-10-95546-34-4",
    pdf = {https://www.romanklinger.de/publications/valentino2020.pdf},
}