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

Authors:
Mohan John Blooma;Alton Yeow-Kuan Chua;Dion Hoe-Lian Goh;Zhiquan Ling
Affiliations:
Division of Information Studies, Wee Kim Wee School of Communication & Information, Nanyang Technological University;Division of Information Studies, Wee Kim Wee School of Communication & Information, Nanyang Technological University;Division of Information Studies, Wee Kim Wee School of Communication & Information, Nanyang Technological University;Division of Information Studies, Wee Kim Wee School of Communication & Information, Nanyang Technological University
Venue:
ICADL'07 Proceedings of the 10th international conference on Asian digital libraries: looking back 10 years and forging new frontiers
Year:
2007

Citing 2
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A model for quantitative evaluation of an end-to-end question-answering system

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Abstract

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.