
FloraNER is a Named-Entity Recognition (NER) dataset for botanical french literature. The dataset covers plant species names and plant morphological terms for both plant organs/characteristics and their descriptors. the descriptors are annotated both in a coarse-grained manner as the named entity type "DESCRIPTOR" and in a fine-grained manner, categorized into the following named-entity types: Form, Measure, Surface, Color, Position, Disposition, Structure, and Development. FloraNER is distantly annotated using a specialized botanical corpus. Consequently, it's important to note that not all named entities within the text are captured and annotated for the coarse-grained and fine-grained datasets.
Computational Biodiversity, Information Extraction, Named Entity Recognition, Natural Language Processing
Computational Biodiversity, Information Extraction, Named Entity Recognition, Natural Language Processing
| 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 |
