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@@ -74,7 +74,7 @@ To do this, **we generated a different sample for each Named-Entity** in the ori
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  | "L'":O, "astronauta":O, "Umberto":B-PER, "Guidoni":I-PER, "dell'":O "Agenzia":B-ORG, "Spaziale":I-ORG | ("L'astronauta Umberto Guidoni dell'Agenzia Spaziale", "Umberto Guidoni", PERSONA), ("L'astronauta Umberto Guidoni dell'Agenzia Spaziale", "Agenzia Spaziale", ORGANIZZAZIONE) |
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- Nermud come with three different Domains: ADG (Alcide De Gasperi writings), FIC (Fiction Books), and WN (Wikinews). After our reframing, with additional cleaning strategies (e.g. remove duplicates) we decided to mantain only AGD and WN domains.
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  ## Example
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  | "L'":O, "astronauta":O, "Umberto":B-PER, "Guidoni":I-PER, "dell'":O "Agenzia":B-ORG, "Spaziale":I-ORG | ("L'astronauta Umberto Guidoni dell'Agenzia Spaziale", "Umberto Guidoni", PERSONA), ("L'astronauta Umberto Guidoni dell'Agenzia Spaziale", "Agenzia Spaziale", ORGANIZZAZIONE) |
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+ Nermud come with three different Domains: ADG (Alcide De Gasperi writings), FIC (Fiction Books), and WN (Wikinews). After our reframing, with additional cleaning strategies (e.g. remove duplicate, ambiguous samples, ...) we decided to mantain only AGD and WN domains, since FIC ended up to be high unbalanced on the test set.
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  ## Example
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