학술논문
Building a Corpus for Biomedical Relation Extraction of Species Mentions
Document Type
Working Paper
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Subject
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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.
Comment: Accepted in BioNLP@ACL 2023
Comment: Accepted in BioNLP@ACL 2023