44 search results - page 1 / 9 » Combining clustering and co-training to enhance text classif... |
KDD
2002
ACM
14 years 4 months ago
2002
ACM
In this paper, we present a new co-training strategy that makes use of unlabelled data. It trains two predictors in parallel, with each predictor labelling the unlabelled data for...
NAACL
2001
13 years 5 months ago
2001
We propose a novel Co-Training method for statistical parsing. The algorithm takes as input a small corpus (9695 sentences) annotated with parse trees, a dictionary of possible le...
IRAL
2003
ACM
13 years 9 months ago
2003
ACM
Namedentityrecognition isimportantinsophisticatedinformation service system such as Question Answering and Text Mining since most of the answer type and text mining unit depend on...
ICML
2002
IEEE
14 years 5 months ago
2002
IEEE
Supervised learning techniques for text classi cation often require a large number of labeled examples to learn accurately. One way to reduce the amountoflabeled datarequired is t...
ICPR
2010
IEEE
13 years 2 months ago
2010
IEEE
Abstract--In this paper we propose a new multi-view semisupervised learning algorithm called Local Co-Training (LCT). The proposed algorithm employs a set of local models with vect...