118 search results - page 4 / 24 » Unlabeled data improves word prediction |
95
Voted
ICDM
2008
IEEE
15 years 6 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...
115
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NIPS
2008
15 years 1 months ago
2008
The cluster assumption is exploited by most semi-supervised learning (SSL) methods. However, if the unlabeled data is merely weakly related to the target classes, it becomes quest...
118
Voted
NIPS
2008
15 years 1 months ago
2008
In this paper, we address the question of what kind of knowledge is generally transferable from unlabeled text. We suggest and analyze the semantic correlation of words as a gener...
113
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EMNLP
2007
15 years 1 months ago
2007
This paper presents a novel approach for exploiting the global context for the task of word sense disambiguation (WSD). This is done by using topic features constructed using the ...
ICML
2006
IEEE
16 years 14 days ago
2006
IEEE
In many applications, unlabelled examples are inexpensive and easy to obtain. Semisupervised approaches try to utilise such examples to reduce the predictive error. In this paper,...