@inproceedings{5ff482330d794b7da751bd31bd10cc88,
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",
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 Verlag",
pages = "497--498",
booktitle = "Asian Digital Libraries",
address = "Germany",
note = "10th International Conference on Asian Digital Libraries, ICADL 2007 ; Conference date: 10-12-2007 Through 13-12-2007",
}