Search
Now showing items 1-4 of 4
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 ...
Information extraction with active learning : a case study in legal text
(2015)
Active learning has been successfully applied to a number of NLP tasks. In this paper, we present a study on Information Extraction for natural language licenses that need to be translated to RDF. The final purpose of our ...
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 ...