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Which Step Do I Take First? Troubleshooting with Bayesian Models

Louis, Annie P and Lapata, Mirella (2015) 'Which Step Do I Take First? Troubleshooting with Bayesian Models.' Transactions of the Association for Computational Linguistics, 3. pp. 73-85. ISSN 2307-387X

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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.

Item Type: Article
Subjects: P Language and Literature > P Philology. Linguistics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 13 Dec 2016 16:21
Last Modified: 13 Dec 2016 16:21
URI: http://repository.essex.ac.uk/id/eprint/18542

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