3 search results - page 1 / 1 » Semi-supervised Learning of Dependency Parsers using General... |
ACL
2008
13 years 8 months ago
2008
This paper presents a semi-supervised training method for linear-chain conditional random fields that makes use of labeled features rather than labeled instances. This is accompli...
JMLR
2010
13 years 1 months ago
2010
In this paper, we present an overview of generalized expectation criteria (GE), a simple, robust, scalable method for semi-supervised training using weakly-labeled data. GE fits m...
ACL
2009
13 years 4 months ago
2009
In this paper, we propose a novel method for semi-supervised learning of nonprojective log-linear dependency parsers using directly expressed linguistic prior knowledge (e.g. a no...