Abstract
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.
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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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