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BiodivNER+RE are two gold-standard manually annotated corpora that are meant to be for Named Entity Recognition (NER) and Relation Extraction (RE) tasks based on abstracts and metadata files from the biodiversity domain Such corpora are designed for machine learning techniques, for example, NER as TokenClassification technique, and RE as SequenceClassification technique.
Added BiodivRE Multi-class corpus
Machine Learning, Deep Learning, Gold-Standard, Named Entity Recognition (NER), Relation Extraction (RE), Biodiversity, Benchmark
Machine Learning, Deep Learning, Gold-Standard, Named Entity Recognition (NER), Relation Extraction (RE), Biodiversity, Benchmark
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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