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Found 4 papers, 1 papers with code
Multi-Query Focused Disaster Summarization via Instruction-Based Prompting
Automatic summarization of mass-emergency events plays a critical role in disaster management.
Information Type Classification with Contrastive Task-Specialized Sentence Encoders
User-generated information content has become an important information source in crisis situations.
Combining Deep Neural Reranking and Unsupervised Extraction for Multi-Query Focused Summarization
The CrisisFACTS Track aims to tackle challenges such as multi-stream fact-finding in the domain of event tracking; participants' systems extract important facts from several disaster-related events while incorporating the temporal order.
Enhancing Crisis-Related Tweet Classification with Entity-Masked Language Modeling and Multi-Task Learning
Social media has become an important information source for crisis management and provides quick access to ongoing developments and critical information.
Hierarchical Multi-label Classification
Language Modelling
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