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Conversation Disentanglement

Conversation Disentanglement is a subtask in natural language processing aimed at separating independent threads of conversation from multi-participant dialogue records to provide more interpretable search results and help users better understand the context of conversations when joining a channel. This task enhances the structuring and usability of dialogue data by identifying and reorganizing different topics and participant relationships, thereby improving user experience and the efficiency of information retrieval.

Conversation Disentanglement | SOTA | HyperAI