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@@ -10,7 +10,7 @@ This is a multilingual [Twitter-XLM-RoBERTa-base model](https://huggingface.co/c
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  - Paper: [Active Learning for Identifying Disaster-Related Tweets: A Comparison with Keyword Filtering and Generic Fine-Tuning](https://link.springer.com/chapter/10.1007/978-3-031-66428-1_8)
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  ## Labels
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- The model classifies short texts as either one of the following two labels:
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  - `LABEL_0`: NOT disaster-related
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  - `LABEL_1`: Disaster-related
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  - Paper: [Active Learning for Identifying Disaster-Related Tweets: A Comparison with Keyword Filtering and Generic Fine-Tuning](https://link.springer.com/chapter/10.1007/978-3-031-66428-1_8)
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  ## Labels
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+ The model classifies short texts using either one of the following two labels:
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  - `LABEL_0`: NOT disaster-related
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  - `LABEL_1`: Disaster-related
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