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@@ -66,6 +66,16 @@ Please use this reference to cite our work
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  > and the entity-related events with an F-score of 0.859. Finally, the model was used for performing an analysis of biases about women and non-Western people in Wikipedia biographies.",\
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  > }
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  # Data Statement for WikiBio corpus
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  Data set name: WikiBio
 
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  > and the entity-related events with an F-score of 0.859. Finally, the model was used for performing an analysis of biases about women and non-Western people in Wikipedia biographies.",\
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  > }
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+ # Structure of the dataset
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+ Each row in the corpus has information about the target entity of the biography (entity), the annotated token, the label, the label id, and the sentence number
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+
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+ Labels are the following:
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+ * ENTITY (a mention of the entity)
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+ * EVENT (all generic event like *win*, *study*)
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+ * EVENT-GR (semantically void predicates like *be* and *have*. Take a look at the work of Bonial and Palmer on light verbs for more information)
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+ * EVENT-ASP (aspectual events like *start*, *finish*)
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+ * EVENT-MOD (events or modifier that modify the actual occurrence of the event. E.g., *not*, *try*)
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+
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  # Data Statement for WikiBio corpus
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  Data set name: WikiBio