CyMapNER: a named entity recognition model for cyberspace surveying and mapping domain

Abstract Cyberspace Surveying and Mapping (CSM) involves the identification and analysis of digital assets to support network management and security, yet its domain-specific named entity recognition (NER) remains underexplored. A key challenge is the semantic gap between general-domain corpora and CSM domain texts, the suboptimal performance of existing named entity recognition (NER) models in accurately identifying entities within CSM data. To tackle obstacles, we proposed a NER model CyMapNER