We propose a general framework for multi-context reasoning which allows us to combine arbitrary monotonic and nonmonotonic logics. Nonmonotonic bridge rules are used to specify th...
Classifying an event captured in an image is useful for understanding the contents of the image. The captured event provides context to refine models for the presence and appearan...
The modelling of realistic emotional behaviour is needed for various applications in multimodal human-machine interaction such as the design of emotional conversational agents (Ma...
Several medical natural language processing (NLP) systems currently base on ontologies that provide the domain knowledge. But, relationships between concepts defined in ontologies ...
We examine the utility of multiple types of turn-level and contextual linguistic features for automatically predicting student emotions in human-human spoken tutoring dialogues. W...