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
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@@ -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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