Search
Now showing items 1-5 of 5
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 ...
Estudio de métodos semisupervisados para la desambiguación de sentidos verbales del español
(2018)
Esta tesis explora el uso de técnicas semisupervisadas para la desambigación de sentidos verbales del español. El objetivo es el estudio de como la información de datos no etiquetados, que son mayores en tamaño, puede ...
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 ...