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Combining semi-supervised and active learning to recognize minority senses in a new corpus
(2015)
In this paper we study the impact of combining active learning with bootstrapping to grow a small annotated corpus from a different, unannotated corpus. The intuition underlying our approach is that bootstrapping includes ...
Reversing uncertainty sampling to improve active learning schemes
(2015)
Active learning provides promising methods to optimize the cost of manually annotating a dataset. However, practitioners in many areas do not massively resort to such methods because they present technical difficulties and ...
Licentia : a tool for supporting users in data licensing on the web of data
(2014)
Associating a license to data is a fundamental task when publishing data on the Web. However, in many cases data producers and publishers are not legal experts, and they usually have only a basic knowledge about the possible ...