Learning to Rank Definitions to Generate Quizzes for Interactive Information Presentation.

ACL '07: Proceedings of the 45th Annual Meeting of the ACL on Interactive Poster and Demonstration Sessions(2007)

引用 23|浏览15
暂无评分
摘要
This paper proposes the idea of ranking definitions of a person (a set of biographical facts) to automatically generate "Who is this?" quizzes. The definitions are ordered according to how difficult they make it to name the person. Such ranking would enable users to interactively learn about a person through dialogue with a system with improved understanding and lasting motivation, which is useful for educational systems. In our approach, we train a ranker that learns from data the appropriate ranking of definitions based on features that encode the importance of keywords in a definition as well as its content. Experimental results show that our approach is significantly better in ranking definitions than baselines that use conventional information retrieval measures such as tf*idf and pointwise mutual information (PMI).
更多
查看译文
关键词
ranking definition,appropriate ranking,conventional information retrieval,pointwise mutual information,biographical fact,educational system,experimental result,improved understanding,lasting motivation,interactive information presentation
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要