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The integration of language models into ecological workflows is opening new possibilities for automated species monitoring. Classification systems are especially relevant in this context, as the high volume of data generated by automated systems requires efficient tools to support expert curators. Multimodal approaches, which incorporate textual information alongside visual or acoustic data, have shown potential to improve classification performance and interpretability. However, for many insect taxa, structured and usable textual descriptions remain scarce or difficult to access. In this work, we present a tool for retrieving and merging textual information about moth species from official repositories and citable sources. The resulting descriptions can be used to enrich multimodal classification models across different taxonomic levels or to build structured databases for species comparison and discovery.

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Creating Datasets of Moth Morphology and Behaviour from Textual Sources with Large Language Models

  • 会议论文

  • 发表日期：

    2026年

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  • Bartolome Ortiz-Viso,
  • Jenna L. Lawson,
  • Tom August

摘要

The integration of language models into ecological workflows is opening new possibilities for automated species monitoring. Classification systems are especially relevant in this context, as the high volume of data generated by automated systems requires efficient tools to support expert curators. Multimodal approaches, which incorporate textual information alongside visual or acoustic data, have shown potential to improve classification performance and interpretability. However, for many insect taxa, structured and usable textual descriptions remain scarce or difficult to access. In this work, we present a tool for retrieving and merging textual information about moth species from official repositories and citable sources. The resulting descriptions can be used to enrich multimodal classification models across different taxonomic levels or to build structured databases for species comparison and discovery.