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Goal detection from natural language queries

He, Yulan (2010). Goal detection from natural language queries. In: 15th International Conference on Applications of Natural Language to Information Systems (NLDB 2010), 23-25 Jun 2010, Cardiff, UK.

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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 or Workshop Item
Copyright Holders: 2010 Springer-Verlag Berlin Heidelberg
ISSN: 0302-9743
Extra Information: The original publication is available at
Keywords: goal detection; tree-augmented naive Bayes networks (TANs); natural language query
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 23366
Depositing User: Kay Dave
Date Deposited: 30 Sep 2010 11:31
Last Modified: 08 Dec 2018 02:50
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