Detecting Urgency Status of Crisis Tweets: A Transfer Learning Approach for Low Resource Languages

1 code implementation • COLING 2020 • Efsun Sarioglu Kayi, Linyong Nan, Bohan Qu, Mona Diab, Kathleen McKeown

We adopt cross-lingual embeddings constructed using different methods to extract features of the tweets, including a few state-of-the-art contextual embeddings such as BERT, RoBERTa and XLM-R. We train classifiers of different architectures on the extracted features.

Transfer Learning XLM-R