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update image url and example

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snisioi 2023-09-26 20:02:13 +03:00
parent c59aec949c
commit 4224b469c3
1 changed files with 5 additions and 2 deletions
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website/meta/universe.json
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@ -4476,7 +4476,7 @@
"slogan": "A Spacy Package for Romanian Legal Document Processing", "slogan": "A Spacy Package for Romanian Legal Document Processing",
"description": "This is a spacy language model for Romanian legal domain trained with floret 4-gram to 5-gram embeddings and `LEGAL` entity recognition. Useful for processing OCR-resulted noisy legal documents.", "description": "This is a spacy language model for Romanian legal domain trained with floret 4-gram to 5-gram embeddings and `LEGAL` entity recognition. Useful for processing OCR-resulted noisy legal documents.",
"github": "senisioi/rolegal", "github": "senisioi/rolegal",
"image": "https://raw.githubusercontent.com/senisioi/rolegal/main/img/paper.jpeg", "image": "https://github.com/senisioi/rolegal/blob/24a7e51284391c8a41e7309c133d085e0a1e0097/img/paper200x200.jpeg",
"pip": "pip install ro-legal-fl", "pip": "pip install ro-legal-fl",
"tags": ["legal", "floret", "ner", "romanian"], "tags": ["legal", "floret", "ner", "romanian"],
"code_example": [ "code_example": [
@ -4489,7 +4489,10 @@
" print('entity: ', entity, '; entity type: ', entity.label_)", " print('entity: ', entity, '; entity type: ', entity.label_)",
"", "",
"# floret n-gram embeddings robust to typos", "# floret n-gram embeddings robust to typos",
"print(nlp('achizit1e public@').similarity(nlp('achiziții publice')))" "print(nlp('achizit1e public@').similarity(nlp('achiziții publice')))",
"# 0.7393895566928835",
"print(nlp('achizitii publice').similarity(nlp('achiziții publice')))",
"# 0.8996480808279399"
], ],
"author": "Sergiu Nisioi", "author": "Sergiu Nisioi",
"author_links": { "author_links": {