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Cross Document Coreference Resolution

Cross-document coreference resolution is an important task in natural language processing aimed at identifying and linking expressions referring to the same entity across multiple documents. This technology achieves consistent recognition and aggregation of entities by analyzing semantic relationships between different documents, thereby improving the accuracy and efficiency of applications such as information retrieval, knowledge graph construction, and multi-document summarization.

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Cross Document Coreference Resolution | SOTA | HyperAI