Benchmarks Models

<figure>

Pipeline	Parser	Tagger	NER
en_core_web_trf (spaCy v3)	95.1	97.8	89.8
en_core_web_lg (spaCy v3)	92.0	97.4	85.5
en_core_web_lg (spaCy v2)	91.9	97.2	85.5

<figcaption className="caption">

Full pipeline accuracy on the OntoNotes 5.0 corpus (reported on the development set).

</figcaption> </figure> <figure>

Named Entity Recognition System	OntoNotes	CoNLL '03
spaCy RoBERTa (2020)	89.8	91.6
Stanza (StanfordNLP)<sup>1</sup>	88.8	92.1
Flair<sup>2</sup>	89.7	93.1

<figcaption className="caption">

Named entity recognition accuracy on the OntoNotes 5.0 and CoNLL-2003 corpora. See NLP-progress for more results. Project template: benchmarks/ner_conll03. 1. Qi et al. (2020). 2. Akbik et al. (2018).

</figcaption> </figure>