12 search results - page 2 / 3 » Active Sample Selection for Named Entity Transliteration |
IIR
2010
13 years 6 months ago
2010
Given a classifier trained on relatively few training examples, active learning (AL) consists in ranking a set of unlabeled examples in terms of how informative they would be, if ...
CORIA
2011
12 years 8 months ago
2011
Named entities play an important role in Information Extraction. They represent unitary namable information within text. In this work, we focus on groups of named entities of the s...
CSL
2008
Springer
13 years 5 months ago
2008
Springer
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
ACL
2008
13 years 6 months ago
2008
We extend the classical single-task active learning (AL) approach. In the multi-task active learning (MTAL) paradigm, we select examples for several annotation tasks rather than f...
PAMI
2006
13 years 5 months ago
2006
Multiple-instance problems arise from the situations where training class labels are attached to sets of samples (named bags), instead of individual samples within each bag (called...