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  "access_rights": "",
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  "author": "Renato M. Silva",
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  "author": "Renato M. Silva",
            
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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/10.1007/978-3-030-61377-8_29"
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    "https://doi.org/10.1007/978-3-030-61377-8_29"
            
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  ],
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  "defined_in": "https://doi.org/10.48550/arXiv.1707.06556",
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  "defined_in": "https://doi.org/10.48550/arXiv.1707.06556",
            
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  "doi": "10.57702/84j1afvd",
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  "doi": "10.57702/84j1afvd",
            
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  "doi_date_published": null,
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  "doi_date_published": "2024-12-16",
            
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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": "Tiago A. Almeida",
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      "extra_author": "Tiago A. Almeida",
            
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      "orcid": ""
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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": "Johannes V. Lochter",
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      "extra_author": "Johannes V. Lochter",
            
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      "orcid": ""
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      "orcid": ""
            
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    }
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  ],
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    {
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      "description": "",
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      "description": "",
            
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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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      "title": "Natural Language Processing"
            
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      "name": "out-of-vocabulary-words",
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      "name": "out-of-vocabulary-words",
            
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      "title": "Out-of-vocabulary words"
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      "title": "Out-of-vocabulary words"
            
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      "description": "",
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      "description": "",
            
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      "name": "word-learning",
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      "name": "word-learning",
            
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      "title": "Word Learning"
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      "title": "Word Learning"
            
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  "landing_page": "https://arxiv.org/abs/2009.04644",
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  "metadata_modified": "2024-12-16T19:52:50.695035",
            
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  "name": "chimera-dataset",
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  "name": "chimera-dataset",
            
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  "notes": "The Chimera dataset is a \u2018Chimera\u2019 dataset of 
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  "notes": "The Chimera dataset is a \u2018Chimera\u2019 dataset of 
            
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(Lazaridou et al., 2017). This dataset was speci\ufb01cally 
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(Lazaridou et al., 2017). This dataset was speci\ufb01cally 
            
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constructed to sim- ulate a nonce situation where a speaker encoun- 
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constructed to sim- ulate a nonce situation where a speaker encoun- 
            
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ters a word for the \ufb01rst time in naturally-occurring (and not 
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ters a word for the \ufb01rst time in naturally-occurring (and not 
            
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necessarily informative) sentences.",
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necessarily informative) sentences.",
            
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distributions based on DCAT.",
            
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      "format": "JSON",
            
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      "hash": "",
            
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      "id": "0268253f-36b9-434e-a488-233037d4e174",
            
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      "id": "5b1f3cbc-a090-4829-87e2-701c1395de30",
            
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      "display_name": "distributional semantics",
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      "display_name": "distributional semantics",
            
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  "title": "Chimera dataset",
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  "version": ""
            
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}
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}