Paper: Learning to Rank Definitions to Generate Quizzes for Interactive Information Presentation

ACL ID P07-2030
Title Learning to Rank Definitions to Generate Quizzes for Interactive Information Presentation
Venue Annual Meeting of the Association of Computational Linguistics
Session System Demonstration
Year 2007
Authors

This paper proposes the idea of ranking def- initions of a person (a set of biographi- cal facts) to automatically generate “Who is this?” quizzes. The definitions are or- dered 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 motiva- tion, which is useful for educational sys- tems. In our approach, we train a ranker thatlearns from data the appropriateranking of definitions based on features that encode the importance of keywords in a definition as well as its content. Experimental results showthatourapproachissignificantlybetter in rankingdefinitionsthan baselinesthat use conventional information retrieval measures suchas tf*idfandpoi...