spaCy/website/docs/usage/_benchmarks-models.md

1.6 KiB

import { Help } from 'components/typography'; import Link from 'components/link'

Pipeline Parser Tagger NER
en_core_web_trf (spaCy v3) 95.5 98.3 89.4
en_core_web_lg (spaCy v3) 92.2 97.4 85.4
en_core_web_lg (spaCy v2) 91.9 97.2 85.5

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

Named Entity Recognition System OntoNotes CoNLL '03
spaCy RoBERTa (2020) 89.7 91.6
Stanza (StanfordNLP)1 88.8 92.1
Flair2 89.7 93.1

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).