60 search results - page 1 / 12 » Semi-supervised Semantic Role Labeling Using the Latent Word... |
105
Voted
EMNLP
2009
14 years 10 months ago
2009
Semantic Role Labeling (SRL) has proved to be a valuable tool for performing automatic analysis of natural language texts. Currently however, most systems rely on a large training...
EMNLP
2009
14 years 10 months ago
2009
Unknown lexical items present a major obstacle to the development of broadcoverage semantic role labeling systems. We address this problem with a semisupervised learning approach ...
126
Voted
ACL
2008
15 years 1 months ago
2008
This paper provides evidence that the use of more unlabeled data in semi-supervised learning can improve the performance of Natural Language Processing (NLP) tasks, such as part-o...
123
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ICDM
2009
IEEE
15 years 7 months ago
2009
IEEE
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
136
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EMNLP
2010
14 years 10 months ago
2010
In this paper, we introduce a method that automatically builds text classifiers in a new language by training on already labeled data in another language. Our method transfers the...