He, Yulan
(2010).
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| DOI (Digital Object Identifier) Link: | http://dx.doi.org/doi:10.1007/978-3-642-13881-2_16 |
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| Google Scholar: | Look up in Google Scholar |
Abstract
This paper aims to identify the communication goal(s) of a user's information-seeking query out of a finite set of within-domain goals in natural language queries. It proposes using Tree-Augmented Naive Bayes networks (TANs) for goal detection. The problem is formulated as N binary decisions, and each is performed by a TAN. Comparative study has been carried out to compare the performance with Naive Bayes, fully-connected TANs, and multi-layer neural networks. Experimental results show that TANs consistently give better results when tested on the ATIS and DARPA Communicator corpora.
| Item Type: | Conference Item |
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| Copyright Holders: | 2010 Springer-Verlag Berlin Heidelberg |
| ISSN: | 0302-9743 |
| Extra Information: | The original publication is available at www.springerlink.com |
| Keywords: | goal detection; tree-augmented naive Bayes networks (TANs); natural language query |
| Academic Unit/Department: | Knowledge Media Institute |
| Interdisciplinary Research Centre: | Centre for Research in Computing (CRC) |
| Item ID: | 23366 |
| Depositing User: | Kay Dave |
| Date Deposited: | 30 Sep 2010 11:31 |
| Last Modified: | 26 Oct 2012 04:31 |
| URI: | http://oro.open.ac.uk/id/eprint/23366 |
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