Assessing the costs of sampling methods in active learning for annotation
HLT-Short '08 Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers
Active learning with statistical models
Journal of Artificial Intelligence Research
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We report on the re-annotation of selected types of named entities from the Muc7 corpus where our focus lies on recording the time it takes to annotate these entities given two basic annotation units -- sentences vs. complex noun phrases. Such information may be helpful to lay the empirical foundations for the development of cost measures for annotation processes based on the investment in time for decision-making per entity mention.