构建生物医学物种提及关系提取语料库

Workshop on Biomedical Natural Language Processing Pub Date : 2023-06-14 DOI:10.48550/arXiv.2306.08403

Oumaima El Khettari, Solen Quiniou, Samuel Chaffron

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引用次数: 0

摘要

我们提出了一个手动注释的新语料库，物种-物种相互作用(SSI)，用于在句子级别提取生物医学文本中物种之间有意义的二元关系，重点是肠道微生物群。在评估不同的NER物种标记器后，语料库利用PubTator对全文文章中的物种进行注释。我们的第一个结果有望利用BERT及其生物医学变体提取物种之间的关系。

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Building a Corpus for Biomedical Relation Extraction of Species Mentions

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.

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Workshop on Biomedical Natural Language Processing

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