Summary
The intention recognition module identifies the analyzed representation of the user input to the SmartKom system that best represents this input in a collection of possible representations. The alternative representations are generated by recognition and analysis components, being enriched with knowledge, e.g., from the discourse and context. A probabilistic model combines various scores, based on features in the representations and computed by the SmartKom modules during processing to support the selection. The parameters inside the model are optimized on annotated data that has been collected using the SmartKom system using both a parameter study and a rank based estimation algorithm.
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te Vrugt, J., Portele, T. (2006). Intention Recognition. In: Wahlster, W. (eds) SmartKom: Foundations of Multimodal Dialogue Systems. Cognitive Technologies. Springer, Berlin, Heidelberg . https://doi.org/10.1007/3-540-36678-4_19
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DOI: https://doi.org/10.1007/3-540-36678-4_19
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