5th International Conference on Spoken Language Processing
In this paper we discuss the role of language modeling in a novel natural language dialogue system designed to automatically route incoming customer calls. We arrive at two significant conclusions: First, standard word error rate measures do not reflect application specific requirements; highly reliable content extraction is possible with relatively high word error rates. Secondly blending human-human data with human-machine data did not improve the performance in language modeling.
Bibliographic reference. Reichl, Wolfgang / Carpenter, Bob / Chu-Carroll, Jennifer / Chou, Wu (1998): "Language modeling for content extraction in human-computer dialogues", In ICSLP-1998, paper 0588.