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Rating-scale evaluations are common in NLP, but are problematic for a range of reasons, e.g. they can be unintuitive for evaluators, inter-evaluator agreement and self-consistency...
Ordinal classification is a form of multi-class classification where there is an inherent ordering between the classes, but not a meaningful numeric difference between them. Althou...
Abstract. Ordinal data play an important part in financial forecasting. For example, advice from expert sources may take the form of "bullish", "bearish" or &qu...
Visual information overload is a threat to the interpretation of displays presenting large data sets or complex application environments. To combat this problem, researchers have ...
Anthony Tang, Peter McLachlan, Karen Lowe, Chalapa...