Utterance Templates Merging in Automaton-based Dialogue Systems
Many of the implemented dialog systems in industry are based on a state automaton. Most of these systems rely on predefined messages, where a message is an ordered set of utterance templates, in order to produce the output message. The automaton-based dialog manager computes the correspondence of a particular predefined message to a given users request. However, a rather common event in the dialog systems workflow is the dialog managers highlighting of multiple messages in response to a users request. In order to produce an appropriate output message, the templates of all messages need to be merged and restructured. In this paper, we introduce a Natural Language Generation (NLG) module to the automaton based dialog system in order to perform this task.
Natural Language Generation constraint satisfaction problems automaton-based dialogue systems segmented discourse representation theory
Pierre HANKACH Laurence DANLOS Franck PANAGET
France Telecom & U.Paris 722300 Lannion,France U.Paris 775251 Paris cedex 05,France France Telecom 22300 Lannion,France
国际会议
北京
英文
2008-10-19（万方平台首次上网日期，不代表论文的发表时间）