mirror of https://github.com/explosion/spaCy.git
41 lines
1.5 KiB
Plaintext
41 lines
1.5 KiB
Plaintext
<figure>
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| Pipeline | Parser | Tagger | NER |
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| ---------------------------------------------------------- | -----: | -----: | ---: |
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| [`en_core_web_trf`](/models/en#en_core_web_trf) (spaCy v3) | 95.1 | 97.8 | 89.8 |
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| [`en_core_web_lg`](/models/en#en_core_web_lg) (spaCy v3) | 92.0 | 97.4 | 85.5 |
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| `en_core_web_lg` (spaCy v2) | 91.9 | 97.2 | 85.5 |
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<figcaption className="caption">
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**Full pipeline accuracy** on the
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[OntoNotes 5.0](https://catalog.ldc.upenn.edu/LDC2013T19) corpus (reported on
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the development set).
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</figcaption>
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</figure>
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<figure>
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| Named Entity Recognition System | OntoNotes | CoNLL '03 |
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| -------------------------------- | --------: | --------: |
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| spaCy RoBERTa (2020) | 89.8 | 91.6 |
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| Stanza (StanfordNLP)<sup>1</sup> | 88.8 | 92.1 |
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| Flair<sup>2</sup> | 89.7 | 93.1 |
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<figcaption className="caption">
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**Named entity recognition accuracy** on the
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[OntoNotes 5.0](https://catalog.ldc.upenn.edu/LDC2013T19) and
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[CoNLL-2003](https://www.aclweb.org/anthology/W03-0419.pdf) corpora. See
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[NLP-progress](http://nlpprogress.com/english/named_entity_recognition.html) for
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more results. Project template:
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[`benchmarks/ner_conll03`](%%GITHUB_PROJECTS/benchmarks/ner_conll03). **1.**
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[Qi et al. (2020)](https://arxiv.org/pdf/2003.07082.pdf). **2.**
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[Akbik et al. (2018)](https://www.aclweb.org/anthology/C18-1139/).
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</figcaption>
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</figure>
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