@article{louis-lapata-2015-step,
title = "Which Step Do {I} Take First? Troubleshooting with {B}ayesian Models",
author = "Louis, Annie and
Lapata, Mirella",
editor = "Collins, Michael and
Lee, Lillian",
journal = "Transactions of the Association for Computational Linguistics",
volume = "3",
year = "2015",
address = "Cambridge, MA",
publisher = "MIT Press",
url = "https://aclanthology.org/Q15-1006",
doi = "10.1162/tacl_a_00123",
pages = "73--85",
abstract = "Online discussion forums and community question-answering websites provide one of the primary avenues for online users to share information. In this paper, we propose text mining techniques which aid users navigate troubleshooting-oriented data such as questions asked on forums and their suggested solutions. We introduce Bayesian generative models of the troubleshooting data and apply them to two interrelated tasks: (a) predicting the complexity of the solutions (e.g., plugging a keyboard in the computer is easier compared to installing a special driver) and (b) presenting them in a ranked order from least to most complex. Experimental results show that our models are on par with human performance on these tasks, while outperforming baselines based on solution length or readability.",
}
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%0 Journal Article
%T Which Step Do I Take First? Troubleshooting with Bayesian Models
%A Louis, Annie
%A Lapata, Mirella
%J Transactions of the Association for Computational Linguistics
%D 2015
%V 3
%I MIT Press
%C Cambridge, MA
%F louis-lapata-2015-step
%X Online discussion forums and community question-answering websites provide one of the primary avenues for online users to share information. In this paper, we propose text mining techniques which aid users navigate troubleshooting-oriented data such as questions asked on forums and their suggested solutions. We introduce Bayesian generative models of the troubleshooting data and apply them to two interrelated tasks: (a) predicting the complexity of the solutions (e.g., plugging a keyboard in the computer is easier compared to installing a special driver) and (b) presenting them in a ranked order from least to most complex. Experimental results show that our models are on par with human performance on these tasks, while outperforming baselines based on solution length or readability.
%R 10.1162/tacl_a_00123
%U https://aclanthology.org/Q15-1006
%U https://doi.org/10.1162/tacl_a_00123
%P 73-85
Markdown (Informal)
[Which Step Do I Take First? Troubleshooting with Bayesian Models](https://aclanthology.org/Q15-1006) (Louis & Lapata, TACL 2015)
ACL