483 search results - page 8 / 97 » Sampling the Web as Training Data for Text Classification |
79
Voted
CHI
2011
ACM
14 years 1 months ago
2011
ACM
Readers on the Web often skim through text to cope with the volume of available information. In a previous study [11] readers’ eye movements were tracked as they skimmed through...
89
Voted
ADCS
2004
14 years 11 months ago
2004
Co-training is a semi-supervised technique that allows classifiers to learn with fewer labelled documents by taking advantage of the more abundant unclassified documents. However, ...
WEBDB
2000
Springer
15 years 1 months ago
2000
Springer
Many text databases on the web are "hidden" behind search interfaces, and their documents are only accessible through querying. Search engines typically ignore the conte...
76
Voted
FLAIRS
2006
14 years 11 months ago
2006
The world wide web has a wealth of information that is related to almost any text classification task. This paper presents a method for mining the web to improve text classificati...
AAAI
2000
14 years 11 months ago
2000
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...