<ul><li>Researchers have developed ConfliBERT, a specialized language model for processing political and violence-related texts.</li><li>ConfliBERT outperforms general-purpose large language models such as Google's Gemma 2, Meta's Llama 3.1, and Alibaba's Qwen 2.5 in accuracy, precision, and recall.</li><li>The model demonstrates superior performance in classifying terrorist attacks using the Global Terrorism Dataset, particularly in identifying bombing and kidnapping events.</li><li>ConfliBERT combines domain-specific knowledge with computational techniques and shows promise in conflict research and event data processing.</li></ul>

ConfliBERT: A Domain-Specific Language Model for Political Violence Event Detection and Classification

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