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Overview of the NLPCC 2018 Shared Task: Multi-turn Human-Computer Conversations

  • Juntao Li
  • Rui YanEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11109)

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.

Keywords

Multi-turn conversation Conversation generation Conversation retrieval Sequence matching 

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Institute of Computer Science and Technology (ICST)Peking UniversityBeijingChina
  2. 2.Institute of Big Data ResearchPeking UniversityBeijingChina

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