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.
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.
||2010 Springer-Verlag Berlin Heidelberg
||The original publication is available at www.springerlink.com
||goal detection; tree-augmented naive Bayes networks (TANs); natural language query
||Knowledge Media Institute
|Interdisciplinary Research Centre:
||Centre for Research in Computing (CRC)
||30 Sep 2010 11:31
||01 Jul 2014 00:08
|Share this page:
Actions (login may be required)