In this paper, we present an integrated model of the two central tasks of dialog management: interpreting user actions and generating system actions. We model the interpretation task as a classication problem and the generation task as a prediction problem. These two tasks are interleaved in an incremental parsing-based dialog model. We compare three alternative parsing methods for this dialog model using a corpus of human-human spoken dialog from a catalog ordering domain that has been annotated for dialog acts and task/subtask information.
This book, “DSP for In-Vehicle and Mobile Systems”, contains a collection
of research papers authored by prominent specialists in the field. It is
dedicated to Professor Fumitada Itakura of Nagoya University. It is offered
as a tribute to his sustained leadership in Digital Signal Processing during a
professional career that spans both industry and academe. In many cases, the
work reported in this volume has directly built upon or been influenced by the
innovative genius of Professor Itakura....
We have analyzed 607 sentences of spontaneous human-computer speech data containing repairs, drawn from a total corpus of 10,718 sentences. We present here criteria and techniques for automatically detecting the presence of a repair, its location, and making the appropriate correction. The criteria involve integration of knowledge from several sources: pattern matching, syntactic and semantic analysis, and acoustics. INTRODUCTION Spontaneous spoken language often includes speech that is not intended by the speaker to be part of the content of the utterance. ...