In this paper we contrast three architectures for natural language questioning characters. We contrast the relative costs and benefits of each approach in building characters for tactical questioning. The first architecture works purely at the textual, using cross-language information retrieval techniques to learn the best output for any input from a training set of linked questions and answers. The second architecture adds a global emotional model and computes a compliance ...
This paper describes the development of a multi-modal corpus based on multi-party multi-task driven common goal oriented spoken language interaction. The data consists of approximately 10 hours of audio human simulation radio data and nearly 5 hours of video and audio face-to-face sessions between human trainees and virtual agents.
The purpose of this paper is to develop a theoretical model of mitigation by integrating cognitive and discourse approaches to appraisal and coping. Mitigation involves strategic, emotional, linguistic, and Theory of Mind processes on different levels of consciousness. We emphasize that discourse analysis can assist our understanding of these processes.
This paper reviews none available transcription annotation tools, considering in particular the special difficulties arising from transcribing and annotating multi-party, multi-model dialogue. Tools are evaluated as to the ability to support the user's annotation scheme, ability to visualize the form of the data, compatibility with other tools, flexibility of data representation, and general user-friendliness.