Collective Agreement Act

Collective-agreement-based pruning of ensembles

The main idea of ensemble methodology is to weigh several individual pattern classifiers, and combine them to reach a better classification performance. Nevertheless, some ensembles superfluously contain too many members, which results in large storage requirements and in some cases it may even reduce classification performance. The goal of ensemble pruning is to identify a subset of ensemble m...

Harvesting Collective Agreement in Community Oriented Surveys: The Medical Case

The chapter discusses the role of simple and lightweight Web-based systems in promoting a different approach to the externalization of practice-related knowledge within communities of professionals. This approach exploits common online questionnaire systems to collect the preferences of large numbers of domain experts to interesting paradigmatic work cases and proposes a statistically sound eva...

Absenteeism and the Collective Bargaining Agreement: An Empirical Test

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The Grievance Procedure: The Heart of the Collective Agreement

Measuring annotator agreement in a complex hierarchical dialogue act annotation scheme

We present a first analysis of interannotator agreement for the DIT tagset of dialogue acts, a comprehensive, layered, multidimensional set of 86 tags. Within a dimension or a layer, subsets of tags are often hierarchically organised. We argue that especially for such highly structured annotation schemes the well-known kappa statistic is not an adequate measure of inter-annotator agreement. Ins...