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.