Goal detection from natural language queries
http://data.open.ac.uk/oro/23366
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Dataset Open Research Online
Creator Yulan He
At 15th International Conference on Applications of Natural Language to Information Systems (NLDB 2010)
Date 2010
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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