286 search results - page 5 / 58 » Learning to Classify Texts Using Positive and Unlabeled Data |
DASFAA
2004
IEEE
13 years 10 months ago
2004
IEEE
Text classification using a small labeled set and a large unlabeled data is seen as a promising technique to reduce the labor-intensive and time consuming effort of labeling traini...
SIGIR
2002
ACM
13 years 6 months ago
2002
ACM
ICML
1998
IEEE
14 years 7 months ago
1998
IEEE
This paper shows how a text classifier's need for labeled training documents can be reduced by taking advantage of a large pool of unlabeled documents. We modify the Query-by...
IS
2008
13 years 6 months ago
2008
This paper approaches the relation classification problem in information extraction framework with different machine learning strategies, from strictly supervised to weakly superv...
IJCAI
2003
13 years 8 months ago
2003
We present a description of three different algorithms that use background knowledge to improve text classifiers. One uses the background knowledge as an index into the set of tra...