74 search results - page 2 / 15 » A task specification language for bootstrap learning |
EMNLP
2007
13 years 7 months ago
2007
We present two machine learning approaches to information extraction from semi-structured documents that can be used if no annotated training data are available, but there does ex...
EMNLP
2010
13 years 3 months ago
2010
Seed sampling is critical in semi-supervised learning. This paper proposes a clusteringbased stratified seed sampling approach to semi-supervised learning. First, various clusteri...
ACL
2007
13 years 7 months ago
2007
We propose a bootstrapping approach to training a memoriless stochastic transducer for the task of extracting transliterations from an English-Arabic bitext. The transducer learns...
CICLING
2010
Springer
14 years 18 days ago
2010
Springer
Binary semantic relation extraction from Wikipedia is particularly useful for various NLP and Web applications. Currently frequent pattern miningbased methods and syntactic analysi...
EMNLP
2009
13 years 3 months ago
2009
Traditionally, machine learning approaches for information extraction require human annotated data that can be costly and time-consuming to produce. However, in many cases, there ...