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  "access_rights": "",
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  "access_rights": "",
            
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  "author": "Zhi-Hua Zhou",
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  "author": "Zhi-Hua Zhou",
            
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  "author_email": "",
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  "author_email": "",
            
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  "citation": [
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  "citation": [
            
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    "https://doi.org/10.48550/arXiv.1702.05181",
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    "https://doi.org/10.48550/arXiv.1702.05181",
            
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    "https://doi.org/10.48550/arXiv.1609.00288"
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  "defined_in": "https://doi.org/10.48550/arXiv.2401.07395",
            
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  "doi": "10.57702/c3yrsaic",
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  "doi": "10.57702/c3yrsaic",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-17",
            
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  "extra_authors": [
            
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      "extra_author": "Xi-Zhu Wu",
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      "extra_author": "Xi-Zhu Wu",
            
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    },
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      "extra_author": "Zhi-Hua Zhou",
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      "extra_author": "Zhi-Hua Zhou",
            
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      "name": "multi-label-learning",
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      "name": "multi-label-learning",
            
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      "title": "Multi-Label Learning"
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      "name": "multilabel-learning",
            
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      "name": "text-classification",
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      "name": "text-classification",
            
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      "name": "text-tagging",
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      "name": "text-tagging",
            
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  "name": "bibtex",
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  "name": "bibtex",
            
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  "notes": "The dataset is used for multilabel learning tasks. It 
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  "notes": "The dataset is used for multilabel learning tasks. It 
            
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contains 7395 documents, each labeled with 159 relevant tickers.",
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contains 7395 documents, each labeled with 159 relevant tickers.",
            
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      "created": "2024-12-17T11:13:05",
            
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  "title": "Bibtex",
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  "version": ""
            
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}
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}