32 search results - page 5 / 7 » Active Learning and the Total Cost of Annotation |
INTERSPEECH
2010
13 years 18 days ago
2010
Stochastic dependency parsers can achieve very good results when they are trained on large corpora that have been manually annotated. Active learning is a procedure that aims at r...
KDD
2007
ACM
14 years 6 months ago
2007
ACM
It is often expensive to acquire data in real-world data mining applications. Most previous data mining and machine learning research, however, assumes that a fixed set of trainin...
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...
NLE
2008
13 years 5 months ago
2008
For complex tasks such as parse selection, the creation of labelled training sets can be extremely costly. Resource-efficient schemes for creating informative labelled material mu...
LREC
2010
13 years 7 months ago
2010
In recent years, corpus based approaches to machine translation have become predominant, with Statistical Machine Translation (SMT) being the most actively progressing area. Succe...