Towards a hierarchical framework for predicting the best answer in a question answering system

• Main Authors: Chua, Alton Yeow Kuan, Goh, Dion Hoe-Lian, Ling, Zhiquan, Blooma, Mohan John
• 其他作者: Wee Kim Wee School of Communication and Information
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2009
• 主題: DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
• 在線閱讀: https://hdl.handle.net/10356/79616; http://hdl.handle.net/10220/6115
• 機構: Nanyang Technological University

This research aims to develop a model for identifying predictive variables for the selection of the best quality answer in a question-answering (QA) system. It was found that accuracy, completeness and relevance are strong predictors of the quality of the answer.