304 search results - page 7 / 61 » Soft-Supervised Learning for Text Classification |
ADMA
2010
Springer
13 years 5 months ago
2010
Springer
This paper reports on an investigation to compare a number of strategies to include negated features within the process of Inductive Rule Learning (IRL). The emphasis is on generat...
ICTIR
2009
Springer
13 years 5 months ago
2009
Springer
Abstract. In text classification (TC) and other tasks involving supervised learning, labelled data may be scarce or expensive to obtain; strategies are thus needed for maximizing t...
ICMLC
2010
Springer
13 years 5 months ago
2010
Springer
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...
ML
2000
ACM
13 years 7 months ago
2000
ACM
This paper shows that the accuracy of learned text classifiers can be improved by augmenting a small number of labeled training documents with a large pool of unlabeled documents. ...
ICDM
2009
IEEE
13 years 5 months ago
2009
IEEE
Document classification is a key task for many text mining applications. However, traditional text classification requires labeled data to construct reliable and accurate classifie...