论文标题
C3KG：中文常识对话知识图
C3KG: A Chinese Commonsense Conversation Knowledge Graph
论文作者
论文摘要
现有的常识性知识库通常以孤立的方式组织元组，这对于常识性对话模型不足以计划下一步。为了填补空白，我们策划了一个大规模的多圈人写的对话语料库，并创建了第一个中国常识的对话知识图，其中既包含社交共识知识和对话流程信息。为了显示图形的潜力，我们开发了一种图形转换匹配方法，并基准了两个图形接地的对话任务。
Existing commonsense knowledge bases often organize tuples in an isolated manner, which is deficient for commonsense conversational models to plan the next steps. To fill the gap, we curate a large-scale multi-turn human-written conversation corpus, and create the first Chinese commonsense conversation knowledge graph which incorporates both social commonsense knowledge and dialog flow information. To show the potential of our graph, we develop a graph-conversation matching approach, and benchmark two graph-grounded conversational tasks.
