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Lisbon, Portugal, 2-3 September 2005
(held in conjunction with Eurospeech/Interspeech 2005)
Topics of interest
We welcome formal, corpus-based, implementational and analytical work on discourse and dialogue, with a focus on the following three themes:
- 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
- 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);
- 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.