220 search results - page 19 / 44 » Learning to Classify Text from Labeled and Unlabeled Documen... |
108
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KDD
2008
ACM
16 years 2 days ago
2008
ACM
We address the problem of classification in partially labeled networks (a.k.a. within-network classification) where observed class labels are sparse. Techniques for statistical re...
112
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ACL
2009
14 years 9 months ago
2009
Modern models of relation extraction for tasks like ACE are based on supervised learning of relations from small hand-labeled corpora. We investigate an alternative paradigm that ...
CIKM
2008
Springer
15 years 1 months ago
2008
Springer
In this work we try to bridge the gap often encountered by researchers who find themselves with few or no labeled examples from their desired target domain, yet still have access ...
108
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KDD
2009
ACM
16 years 6 days ago
2009
ACM
One common predictive modeling challenge occurs in text mining problems is that the training data and the operational (testing) data are drawn from different underlying distributi...
100
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SDM
2010
SIAM
15 years 1 months ago
2010
SIAM
Obtaining high-quality and up-to-date labeled data can be difficult in many real-world machine learning applications, especially for Internet classification tasks like review spam...