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  "access_rights": "",
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  "author": "Wenda Qin",
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  "author": "Wenda Qin",
            
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  "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700",
            
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  "defined_in": "https://doi.org/10.48550/arXiv.2111.14267",
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  "defined_in": "https://doi.org/10.48550/arXiv.2111.14267",
            
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  "doi": "10.57702/jqe2krce",
            
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  "doi_date_published": "2024-12-17",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Teruhisa Misu",
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      "extra_author": "Teruhisa Misu",
            
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    },
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    {
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      "extra_author": "Derry Wijaya",
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      "extra_author": "Derry Wijaya",
            
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      "name": "artificial-intelligence",
            
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      "title": "Artificial Intelligence"
            
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      "name": "natural-language-processing",
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      "name": "natural-language-processing",
            
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      "title": "Natural Language Processing"
            
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  "name": "r2r-dataset",
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  "name": "r2r-dataset",
            
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  "notes": "The R2R dataset is a dataset based on real photos taken in 
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  "notes": "The R2R dataset is a dataset based on real photos taken in 
            
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indoor environments. It attracts massive attention for its simple-form 
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indoor environments. It attracts massive attention for its simple-form 
            
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task, which at the same time requires complex understanding in both 
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task, which at the same time requires complex understanding in both 
            
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}