Datasets:
				
			
			
	
			
	
		
			
	
		Tasks:
	
	
	
	
	Token Classification
	
	
	Sub-tasks:
	
	
	
	
	named-entity-recognition
	
	
	Languages:
	
	
	
		
	
	English
	
	
	Size:
	
	
	
	
	1K<n<10K
	
	
	Tags:
	
	
	
	
	named-entity-linking
	
	
	License:
	
	
	
	
	
	
	
rm arxiv harmful text link, add link to paper
Browse files
    	
        README.md
    CHANGED
    
    | @@ -75,7 +75,7 @@ The file is tab separated, in CoNLL format, with line breaks between tweets. | |
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            * PoS labels are not present for all tweets, but where they could be found in the Ritter data, they're given. 
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            * In cases where a URI could not be agreed, or was not present in DBpedia, the linking URI is `NIL`.
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            See the paper for a full description of the methodology.
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            ### Supported Tasks and Leaderboards
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| @@ -164,7 +164,7 @@ The data was public at the time of collection. User names are preserved. | |
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            ### Social Impact of Dataset
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            There's a risk of user-deleted content being in this data. The data has NOT been vetted for any content, so there's a risk of  | 
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            ### Discussion of Biases
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            * PoS labels are not present for all tweets, but where they could be found in the Ritter data, they're given. 
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            * In cases where a URI could not be agreed, or was not present in DBpedia, the linking URI is `NIL`.
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            +
            See the paper, [Analysis of Named Entity Recognition and Linking for Tweets](http://www.derczynski.com/papers/ner_single.pdf) for a full description of the methodology.
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            ### Supported Tasks and Leaderboards
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            ### Social Impact of Dataset
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            +
            There's a risk of user-deleted content being in this data. The data has NOT been vetted for any content, so there's a risk of harmful text.
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            ### Discussion of Biases
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