@inproceedings{gaur-etal-2025-search,
    title = "The Search for Conflicts of Interest: Open Information Extraction in Scientific Publications",
    author = "Gaur, Garima  and
      Balalau, Oana  and
      Manolescu, Ioana  and
      Upadhyay, Prajna Devi",
    editor = "Christodoulopoulos, Christos  and
      Chakraborty, Tanmoy  and
      Rose, Carolyn  and
      Peng, Violet",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2025",
    month = nov,
    year = "2025",
    address = "Suzhou, China",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-nejlt/2025.findings-emnlp.748/",
    doi = "10.18653/v1/2025.findings-emnlp.748",
    pages = "13922--13936",
    ISBN = "979-8-89176-335-7",
    abstract = "A conflict of interest (COI) appears when a person or a company has two or more interests that may directly conflict. This happens, for instance, when a scientist whose research is funded by a company audits the same company. For transparency and to avoid undue influence, public repositories of relations of interest are increasingly recommended or mandated in various domains, and can be used to avoid COIs. In this work, we propose an LLM-based open information extraction (OpenIE) framework for extracting financial or other types of interesting relations from scientific text. We target scientific publications in which authors declare funding sources or collaborations in the acknowledgment section, in the metadata, or in the publication, following editors' requirements. We introduce an extraction methodology and present a knowledge base (KB) with a comprehensive taxonomy of COI centric relations. Finally, we perform a comparative study of disclosures of two journals in the field of toxicology and pharmacology."
}