Goal detection from natural language queries
http://data.open.ac.uk/oro/23366
is a Article , Academic article

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Property Object
Dataset Open Research Online
Creator Yulan He
At 15th International Conference on Applications of Natural Language to Information Systems (NLDB 2010)
Date 2010
Is part of repository
Status Peer reviewed
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  • http://data.open.ac.uk/oro/document/11017
  • http://data.open.ac.uk/oro/document/14914
  • http://data.open.ac.uk/oro/document/15859
  • http://data.open.ac.uk/oro/document/6004
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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  • 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.
  • 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.
Title Goal detection from natural language queries