32 search results - page 5 / 7 » Combining Labeled and Unlabeled Data for MultiClass Text Cat... |
NAACL
2001
13 years 8 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...
SDM
2012
SIAM
11 years 9 months ago
2012
SIAM
To date, many active learning techniques have been developed for acquiring labels when training data is limited. However, an important aspect of the problem has often been neglect...
CIKM
2000
Springer
13 years 11 months ago
2000
Springer
Recently there has been significant interest in supervised learning algorithms that combine labeled and unlabeled data for text learning tasks. The co-training setting [1] applie...
KDD
2002
ACM
14 years 7 months ago
2002
ACM
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
ICDM
2008
IEEE
14 years 1 months ago
2008
IEEE
The goal of sentiment prediction is to automatically identify whether a given piece of text expresses positive or negative opinion towards a topic of interest. One can pose sentim...