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  "defined_in": "https://doi.org/10.48550/arXiv.2403.11129",
            
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "P. Vossen",
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      "extra_author": "P. Vossen",
            
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      "name": "event-extraction",
            
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      "title": "Event Extraction"
            
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  "name": 
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  "name": 
            
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-corpus--a-new-benchmark-for-causal-and-temporal-relation-extraction",
            
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  "notes": "The EventStoryLine corpus contains 22 topics, 258 
            
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documents, 4,316 sentences, 5,334 event mentions, a total of 54,326 
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documents, 4,316 sentences, 5,334 event mentions, a total of 54,326 
            
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event pairs.",
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event pairs.",
            
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      "description": "The json representation of the dataset with its 
            
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distributions based on DCAT.",
            
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  "tags": [
            
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    {
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      "display_name": "causal relation extraction",
            
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      "display_name": "event extraction",
            
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      "id": "b00d16b7-d98c-4cce-ac5f-9c074833325d",
            
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      "name": "event extraction",
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      "name": "event extraction",
            
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    {
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      "display_name": "temporal relation extraction",
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      "display_name": "temporal relation extraction",
            
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      "id": "63a2dd6e-a659-4c53-b5df-d943c7c53404",
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      "id": "63a2dd6e-a659-4c53-b5df-d943c7c53404",
            
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      "name": "temporal relation extraction",
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      "name": "temporal relation extraction",
            
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      "state": "active",
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    }
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  ],
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  "title": "The Event Storyline Corpus: A New Benchmark for Causal and 
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  "title": "The Event Storyline Corpus: A New Benchmark for Causal and 
            
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Temporal Relation Extraction",
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Temporal Relation Extraction",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "version": ""
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  "version": ""
            
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}
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}