963 search results - page 29 / 193 » Active Learning by Labeling Features |
144
Voted
ACL
2008
15 years 4 months ago
2008
This paper presents a semi-supervised training method for linear-chain conditional random fields that makes use of labeled features rather than labeled instances. This is accompli...
100
Voted
CIKM
2009
Springer
15 years 9 months ago
2009
Springer
We describe a novel simple and highly scalable semi-supervised method called Word-Class Distribution Learning (WCDL), and apply it the task of information extraction (IE) by utili...
130
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ISDA
2010
IEEE
15 years 16 days ago
2010
IEEE
Dimensionality reduction and feature selection in particular are known to be of a great help for making supervised learning more effective and efficient. Many different feature sel...
110
Voted
ISDA
2009
IEEE
15 years 9 months ago
2009
IEEE
For supervised learning, feature selection algorithms attempt to maximise a given function of predictive accuracy. This function usually considers the ability of feature vectors t...
135
Voted
ACL
2010
15 years 2 days ago
2010
One of the main obstacles to producing high quality joint models is the lack of jointly annotated data. Joint modeling of multiple natural language processing tasks outperforms si...