Topics of interest

We welcome formal, corpus-based, implementational and analytical work on discourse and dialogue, with a focus on the following three themes:

1. Dialogue Systems
   Spoken, multi-modal, and text/web based dialogue systems including topics such as:
   • Dialogue management models;
   • Adaptive dialogue modelling;
   • Emotional dialogue;
   • Modality integration, e.g. between speech, gesture, text, graphics
   • User modelling;
   • Task-driven versus conversational non-task-oriented dialogue;
   • Strategies for preventing, detecting or handling miscommunication (repair and correction types, clarification and under-specificity, grounding and feedback strategies);
   • Utilising prosodic information for understanding and for disambiguation;
   • Evaluation of dialogue systems and components;
   • Methods for evaluation of non-task-oriented dialogue systems;
   • Methods for evaluation of multimodal dialogue systems;
   • Methods for evaluation of dialogue systems for specific environments (e.g. mobile) environments
2. Corpora, Coding Schemes and Tools
   Corpus-based work on discourse and spoken, text-based and multi-modal dialogue including its support, in particular:
   • Annotation tools and coding schemes;
   • Data resources for discourse and dialogue studies, including multimodal resources;
   • Corpora containing information on speech, emotions and dialogue;
   • Corpus-based techniques and analysis (including machine learning);
3. Pragmatic and/or Semantic Modelling
   The pragmatics and/or semantics of discourse and dialogue (i.e. beyond a single sentence) including the following issues:
   • The semantics/pragmatics of dialogue acts;
   • Models of discourse/dialogue structure and their relation to referential and relational structure;
   • Prosody in discourse and dialogue;
   • Models of presupposition and accommodation;
   • Operational models of conversational implicature;
   • Modelling style (e.g. politeness) and emotions;
   • Pragmatics and/or semantic modelling of issues in NLP applications such as text summarisation, question answering, and information retrieval.