We present a manually annotated corpus, Species-Species Interaction, 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 Named Entity Recognition species taggers. Our first results are promising for extracting relations between species using BERT and its biomedical variants.
CITATION STYLE
El Khettari, O., Quiniou, S., & Chaffron, S. (2023). Building a Corpus for Biomedical Relation Extraction of Species Mentions. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 248–254). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2023.bionlp-1.21
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