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

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

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Title: Towards a hierarchical framework for predicting the best answer in a question answering system
Author: Mohan John Blooma; Chua, Alton Yeow Kuan; Goh, Dion Hoe-Lian; Ling, Zhiquan
Copyright year: 2007
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.
Subject: DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Type: Conference Paper
Conference name: International Conference on Asian Digital Libraries (10th : 2007 : Vietnam)
School: Wee Kim Wee School of Communication and Information
Rights: The original publication is available at www.springerlink.com.
Version: Accepted version

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