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Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
Conversational search is a crucial and promising branch in information retrieval. In this paper, we reveal that not all historical conversational turns are necessary for understanding the intent of the current query. The redundant noisy turns in the context largely hinder the improvement of search performance. However, enhancing the context denoising ability for conversational search is quite challenging due to data scarcity and the steep difficulty for simultaneously learning conversationaldoi:10.1145/3477495.3531961 fatcat:lrvqeehqknf3lhc7r3f2ogulqy