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  "author": "Piotr Bojanowski",
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  "author": "Piotr Bojanowski",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [
            
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    "https://doi.org/10.48550/arXiv.1902.07181",
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    "https://doi.org/10.48550/arXiv.1902.07181",
            
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    "https://doi.org/10.48550/arXiv.2207.01246",
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    "https://doi.org/10.48550/arXiv.2207.01246",
            
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    "https://doi.org/10.48550/arXiv.1904.12683"
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  "defined_in": "https://doi.org/10.48550/arXiv.2010.15939",
            
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  "doi": "10.57702/ce7c3j4u",
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  "doi": "10.57702/ce7c3j4u",
            
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  "doi_date_published": null,
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    {
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      "extra_author": "Edouard Grave",
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    },
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    {
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      "extra_author": "Armand Joulin",
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      "extra_author": "Armand Joulin",
            
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      "orcid": ""
            
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    },
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    },
            
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    {
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    {
            
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      "extra_author": "Tomas Mikolov",
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      "extra_author": "Tomas Mikolov",
            
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      "orcid": ""
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      "orcid": ""
            
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      "name": "language-modeling",
            
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      "title": "Language Modeling"
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      "title": "Language Modeling"
            
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      "description": "",
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      "name": "text-classification",
            
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  "name": "fasttext",
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  "name": "fasttext",
            
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  "notes": "The FastText dataset is a subword token embedding model. 
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  "notes": "The FastText dataset is a subword token embedding model. 
            
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It produces a vector representation of a word based on composing 
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It produces a vector representation of a word based on composing 
            
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embeddings of the character n-grams composing the word.",
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embeddings of the character n-grams composing the word.",
            
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      "id": "b5a197fd-5e68-4094-91ff-289281086a0b",
            
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  "title": "FastText",
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}
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}