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.

DOI: https://doi.org/10.1007/978-3-642-13881-2_16

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.

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About

• Item ORO ID
• 23366
• Item Type
• Conference or Workshop Item
• 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 or 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)
• Copyright Holders
• © 2010 Springer-Verlag Berlin Heidelberg
• Depositing User
• Kay Dave