Proceedings of the 1st Workshop on Ecology, Environment, and Natural Language Processing (NLP4Ecology2025)

Selle kollektsiooni püsiv URIhttps://hdl.handle.net/10062/107174

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Sirvi Proceedings of the 1st Workshop on Ecology, Environment, and Natural Language Processing (NLP4Ecology2025) Autor "Illari, Phyllis" järgi

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    Mining for Species, Locations, Habitats, and Ecosystems from Scientific Papers in Invasion Biology: A Large-Scale Exploratory Study with Large Language Models
    (University of Tartu Library, 2025-03) D'Souza, Jennifer; Laubach, Zachary; Mustafa, Tarek Al; Zarrieß, Sina; Frühstückl, Robert; Illari, Phyllis; Basile, Valerio; Bosco, Cristina; Grasso, Francesca; Ibrahim, Muhammad Okky; Skeppstedt, Maria; Stede, Manfred
    This study explores the use of large language models (LLMs), specifically GPT-4o, to extract key ecological entities—species, locations, habitats, and ecosystems—from invasion biology literature. This information is critical for understanding species spread, predicting future invasions, and informing conservation efforts. Without domain-specific fine-tuning, we assess the potential and limitations of GPT-4o, out-of-the-box, for this task, highlighting the role of LLMs in advancing automated knowledge extraction for ecological research and management.