@inproceedings{lourie-etal-2025-integrating,
    title = "Integrating Semantic and Statistical Features for Authorial Clustering of Qumran Scrolls",
    author = "Lourie, Yonatan  and
      Ben-Dov, Jonathan  and
      Sharan, Roded",
    editor = "Anderson, Adam  and
      Gordin, Shai  and
      Li, Bin  and
      Liu, Yudong  and
      Passarotti, Marco C.  and
      Sprugnoli, Rachele",
    booktitle = "Proceedings of the Second Workshop on Ancient Language Processing",
    month = may,
    year = "2025",
    address = "The Albuquerque Convention Center, Laguna",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/corrections-2025-06/2025.alp-1.2/",
    doi = "10.18653/v1/2025.alp-1.2",
    pages = "12--21",
    ISBN = "979-8-89176-235-0",
    abstract = "We present a novel framework for authorial classification and clustering of the Qumran Dead Sea Scrolls (DSS). Our approach com-bines modern Hebrew BERT embeddings with traditional natural language processing features in a graph neural network (GNN) architecture. Our results outperform baseline methods on both the Dead Sea Scrolls and a validation dataset of the Hebrew Bible. In particular, we leverage our model to provide significant insights into long-standing debates, including the classification of sectarian and non-sectarian texts and the division of the Hodayot collection of hymns."
}