Title :
A framework for large scalable natural language call routing systems
Author :
Wu, Cheng ; Lubensky, David ; Huerta, Juan ; Li, Xiang ; Kuo, Hong-Kwang Jeff
Author_Institution :
Human Language Technol. Dept., IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
Abstract :
A framework is proposed for enterprise automated call routing system development and large scalable natural language call routing application deployment based on IBM´s speech recognition and NLU application engagement practices in recently years. To facilitate employing different call classification algorithms in an easy integration manner, this framework architecture provides a plug & play environment for evaluating promising call routing algorithms and a systematic approach to carry out a large scalable enterprise application deployment. The paradigm illustrates the complementary effort to develop an automatic call routing application for enterprise call centers and covers from call classification algorithm investigation to application programming model. Experimental results on a live data testing set collected from an enterprise call center shows that the performance of the call classification algorithm implemented in this framework is outstanding.
Keywords :
business communication; call centres; natural languages; speech recognition; NLU application engagement practices; application programming model; call classification algorithm; call classification algorithms; call routing algorithms; enterprise application deployment; enterprise automated call routing system; enterprise call centers; natural language; speech recognition; Application software; Automatic programming; Classification algorithms; Computer science; Costs; Humans; Natural languages; Plugs; Routing; Testing;
Conference_Titel :
Natural Language Processing and Knowledge Engineering, 2003. Proceedings. 2003 International Conference on
Conference_Location :
Beijing, China
Print_ISBN :
0-7803-7902-0
DOI :
10.1109/NLPKE.2003.1275870