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CrisisTransformers | State-of-the-art contextual and semantically meaningful sentence embeddings for crisis-related social media texts
CrisisTransformers is a family of pre-trained language models and sentence encoders introduced in the following papers:
- Pre-trained models and sentence encoders: CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts
- Multi-lingual sentence encoders: Semantically Enriched Cross-Lingual Sentence Embeddings for Crisis-related Social Media Texts
- Mini models: "Actionable Help" in Crises: A Novel Dataset and Resource-Efficient Models for Identifying Request and Offer Social Media Posts
The models were trained on a massive corpus of over 15 billion word tokens from tweets associated with 30+ crisis events, such as disease outbreaks, natural disasters, conflicts, etc.