60 search results - page 1 / 12 » Semi-supervised Semantic Role Labeling Using the Latent Word... |
EMNLP
2009
13 years 2 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
13 years 2 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 ...
ACL
2008
13 years 6 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...
ICDM
2009
IEEE
13 years 11 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...
EMNLP
2010
13 years 2 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...