Abstract
In this paper, we give an overview of multi-turn human-computer conversations at NLPCC 2018 shared task. This task consists of two sub-tasks: conversation generation and retrieval with given context. Data-sets for both training and testing are collected from Weibo, where there are 5 million conversation sessions for training and 40,000 non-overlapping conversation sessions for evaluating. Details of the shared task, evaluation metric, and submitted models will be given successively.
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Li, J., Yan, R. (2018). Overview of the NLPCC 2018 Shared Task: Multi-turn Human-Computer Conversations. In: Zhang, M., Ng, V., Zhao, D., Li, S., Zan, H. (eds) Natural Language Processing and Chinese Computing. NLPCC 2018. Lecture Notes in Computer Science(), vol 11109. Springer, Cham. https://doi.org/10.1007/978-3-319-99501-4_42
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DOI: https://doi.org/10.1007/978-3-319-99501-4_42
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