A high-level dialogue system involves symbolic reasoning and deep understanding of user input, and its object is to handle complex dialogue phenomena such as inference and negotiation. However, it is difficult for high-level dialogue techniques to be extended toward a practical dialogue system that must generate effective responses in a real environment because the high-level dialogue technique...

This paper describes a dialogue manager and its interaction with semantics and context tracking in a spoken dialogue system developed for general information retrieval and transaction applications. The dialogue system supports the following basic functionality: electronic form filling, database query, result navigation, attribute-value pair referencing, and value and reference resolution. Gener...

In this paper we present an approach to dialogue management that supports the generation of multifunctional utterances. It is based on the multidimensional dialogue act taxonomy and associated context model as developed in Dynamic Interpretation Theory (DIT). The multidimensional organisation of the taxonomy reflects that there are various aspects that dialogue participants have to deal with si...

This paper describes a dialogue act tagging scheme developed for the purpose of providing finer-grained quantitative dialogue metrics for comparing and evaluating DARPA COMMUNICATOR spoken dialogue systems. We show that these dialogue act metrics can be used to quantify the amount of effort spent in a dialogue maintaining the channel of communication or, establishing the frame for communication...

The rich natural language dialogue that is exchanged between tutors and students has inspired many successful lines of research on tutorial dialogue systems. Yet, today’s tutorial dialogue systems do not regularly achieve the same level of student learning gain as has been observed with expert human tutors. Implementing models directly informed by, and even machine-learned from, human-human tut...

Recent times have seen a significant increase in the amount of readily available SAR data, with many current and historic SAR data holdings now adopting an open distribution policy. As more regular SAR observations are becoming available, the use of a hyper-temporal SAR change detection framework (utilizing a stack of potentially hundreds of SAR images) is now becoming significantly more feasib...

Research on the structure of dialogue has been hampered for years because large dialogue corpora have not been available. This has impacted the dialogue research community’s ability to develop better theories, as well as good off-the-shelf tools for dialogue processing. Happily, an increasing amount of information and opinion exchange occur in natural dialogue in online forums, where people sha...

A novel approach for introducing adaptivity to user satisfaction into dialogue management is presented in this work. In general, rendering the dialogue adaptive to user satisfaction enables the dialogue system to improve the course of the dialogue or to handle problematic situations better. In this contribution, the theoretical aspects of rendering the dialogue cycle adaptive are outlined. Furt...

Dialogue systems are one of the most interesting applications of speech and language technologies. There have recently been some attempts to build dialogue systems in Spanish, and some corpora have been acquired and annotated. Using these corpora, statistical machine learning methods can be applied to try to solve problems in spoken dialogue systems. In this paper, two statistical models based ...

For a multi-domain spoken dialogue system, there are two major difficulties in building its dialogue management. One is to interpret users' interested domain correctly and switch between domains smoothly. The other is the high cost of merging the dialogue management of different application domains. To solve these problems, an implicit domain identification and switching mechanism for dialogue ...