Update README.md

README.md

@@ -5,7 +5,7 @@ tags: [disaster management, twitter]
 
 # Disaster-Twitter-XLM-RoBERTa-AL
 
-This is a multilingual [Twitter-XLM-RoBERTa-base model](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base) fine-tuned for the identification of disaster-related tweets. It was trained using a two-step procedure. First, we fine-tuned the model with 179,391 labelled tweets from [CrisisLex](https://crisislex.org/) in English, Spanish, German, French and Italian. Subsequently, the model was fine-tuned further using data from the 2021 Ahr Valley flood and the 2023 Chile forest fires using a greedy coreset active learning approach.
+This is a multilingual [Twitter-XLM-RoBERTa-base model](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base) fine-tuned for the identification of disaster-related tweets. It was trained using a two-step procedure. First, we fine-tuned the model with 179,391 labelled tweets from [CrisisLex](https://crisislex.org/) in English, Spanish, German, French and Italian. Subsequently, the model was fine-tuned further using data from the 2021 Ahr Valley flood in Germany and the 2023 Chile forest fires using a greedy coreset active learning approach.
 
 - 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)