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Extraction of Common-Sense Relations from Procedural Task Instructions using BERT
Considering the recent success of pre-trained language models such as BERT, we investigate whether common-sense information can directly be extracted from semi-structured text with an acceptable annotation effort.
Precision and Recall Reject Curves for Classification
We therefore propose reject curves that evaluate precision and recall, the recall-reject curve and the precision-reject curve.
Designing Interaction for Multi-agent Cooperative System in an Office Environment
Future intelligent system will involve very various types of artificial agents, such as mobile robots, smart home infrastructure or personal devices, which share data and collaborate with each other to execute certain tasks. Designing an efficient human-machine interface, which can support users to express needs to the system, supervise the collaboration progress of different entities and evaluate the result, will be challengeable.
Optimum Reject Options for Prototype-based Classification
We analyse optimum reject strategies for prototype-based classifiers and real-valued rejection measures, using the distance of a data point to the closest prototype or probabilistic counterparts.
