@inproceedings{3cf9cd486ebc4e838634f3bf2aeaf027,
title = "Towards a hierarchical framework for predicting the best answer in a question answering system",
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.",
keywords = "Answer quality, Information retrieval, Multiple regression, Prediction model, Question answering systems",
author = "Blooma, {Mohan John} and Chua, {Alton Yeow Kuan} and Goh, {Dion Hoe Lian} and Zhiquan Ling",
year = "2007",
month = dec,
day = "1",
doi = "10.1007/978-3-540-77094-7_65",
language = "English",
isbn = "9783540770930",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "497--498",
editor = "Goh, {Dion Hoe-Lian} and Cao, {Tru Hoang} and S{\o}lvberg, {Ingeborg Torvik} and Edie Rasmussen",
booktitle = "Asian Digital Libraries",
address = "Netherlands",
note = "10th International Conference on Asian Digital Libraries, ICADL 2007 ; Conference date: 10-12-2007 Through 13-12-2007",
}