@inproceedings{el-khettari-etal-2023-building,
    title = "Building a Corpus for Biomedical Relation Extraction of Species Mentions",
    author = "El Khettari, Oumaima  and
      Quiniou, Solen  and
      Chaffron, Samuel",
    editor = "Demner-fushman, Dina  and
      Ananiadou, Sophia  and
      Cohen, Kevin",
    booktitle = "The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2023.bionlp-1.21/",
    doi = "10.18653/v1/2023.bionlp-1.21",
    pages = "248--254",
    abstract = "We present a manually annotated new corpus, Species-Species Interaction (SSI), for extracting meaningful binary relations between species, in biomedical texts, at sentence level, with a focus on the gut microbiota. The corpus leverages PubTator to annotate species in full-text articles after evaluating different NER species taggers. Our first results are promising for extracting relations between species using BERT and its biomedical variants."
}