@inproceedings{marini-etal-2026-extracting,
    title = "Extracting Volcanological Knowledge from Historical Texts: A Language-Technology Pipeline for Diachronic Geovisualization",
    author = "Marini, Costanza  and
      Casagrande, Gianluca  and
      Palmero Aprosio, Alessio  and
      Principe, Claudia",
    editor = "Sprugnoli, Rachele  and
      Passarotti, Marco",
    booktitle = "Proceedings of the Fourth Workshop on Language Technologies for Historical and Ancient Languages ({LT}4{HALA} 2026) @ {LREC} 2026",
    month = may,
    year = "2026",
    address = "Palma, Mallorca (Spain)",
    publisher = "ELRA Language Resources Association (ELRA)",
    url = "https://preview.aclanthology.org/ingest-nlpsi/2026.lt4hala-1.4/",
    doi = "10.63317/3ikuq72uxg2t",
    pages = "38--48",
    abstract = "This paper presents the first results of the CorVo project, a transdisciplinary project combining volcanology and computational linguistics to extract and structure volcanological knowledge from historical documents concerning Mount Vesuvius. We introduce the CorVo corpus, a multilingual diachronic corpus of 180 digitized texts (16th{--}20th centuries), selected to represent the main eruptive scenarios of the volcano. The digitization workflow integrates image pre-processing, OCR, and LLM-based post-correction to address challenges posed by degraded pages, historical typefaces, and orthographic variation. A domain-aware information extraction pipeline was developed to identify both standard toponyms and fine-grained spatial entities, which are typically overlooked by traditional NER systems. Extracted entities undergo human-in-the-loop validation and georeferencing through a dedicated annotation interface supporting multiple spatial geometries. The resulting dataset enables temporally normalized diachronic geovisualization of the textual-spatial footprint of Vesuvian eruptions across centuries."
}