286 search results - page 22 / 58 » Learning to Classify Texts Using Positive and Unlabeled Data |
ECIR
2003
Springer
13 years 9 months ago
2003
Springer
In this paper, we present an automated text classification system for the classification of biomedical papers. This classification is based on whether there is experimental eviden...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
Multi-view algorithms, such as co-training and co-EM, utilize unlabeled data when the available attributes can be split into independent and compatible subsets. Co-EM outperforms ...
ICML
2008
IEEE
2008
IEEE
A unified architecture for natural language processing: deep neural networks with multitask learning
14 years 8 months ago
We describe a single convolutional neural network architecture that, given a sentence, outputs a host of language processing predictions: part-of-speech tags, chunks, named entity...
KDD
2006
ACM
14 years 8 months ago
2006
ACM
The problem of time series classification has attracted great interest in the last decade. However current research assumes the existence of large amounts of labeled training data...
ACL
2009
13 years 5 months ago
2009
Sentiment classification refers to the task of automatically identifying whether a given piece of text expresses positive or negative opinion towards a subject at hand. The prolif...