Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/79616
Title: Towards a hierarchical framework for predicting the best answer in a question answering system
Authors: Chua, Alton Yeow Kuan
Goh, Dion Hoe-Lian
Ling, Zhiquan
Blooma, Mohan John
Keywords: DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Issue Date: 2007
Source: Blooma, M. J., Chua, A. Y. K., Goh, D. H. L., & Ling, Z. (2007). Towards a hierarchical framework for predicting the best answer in a question answering system. International Conference on Asian Digital Libraries ICADL (10th:2007:Vietnam), Lecture Notes in Computer Science, 4822, 497-498.
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.
URI: https://hdl.handle.net/10356/79616
http://hdl.handle.net/10220/6115
DOI: http://dx.doi.org/10.1007/978-3-540-77094-7_65
Rights: The original publication is available at www.springerlink.com.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:WKWSCI Conference Papers

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