Index of papers in Proc. ACL 2010 that mention
  • CRFs
Lavergne, Thomas and Cappé, Olivier and Yvon, François
Abstract
Conditional Random Fields ( CRFs ) are a widely-used approach for supervised sequence labelling, notably due to their ability to handle large description spaces and to integrate structural dependency between labels.
Abstract
In this paper, we address the issue of training very large CRFs , containing up to hundreds output labels and several billion features.
Abstract
Our experiments demonstrate that very large CRFs can be trained efficiently and that very large models are able to improve the accuracy, while delivering compact parameter sets.
Introduction
Conditional Random Fields ( CRFs ) (Lafferty et al., 2001; Sutton and McCallum, 2006) constitute a widely-used and effective approach for supervised structure learning tasks involving the mapping between complex objects such as strings and trees.
Introduction
An important property of CRFs is their ability to handle large and redundant feature sets and to integrate structural dependency between output labels.
Introduction
However, even for simple linear chain CRFs , the complexity of learning and inference Was partly supported by ANR projects CroTaL
CRFs is mentioned in 22 sentences in this paper.
Topics mentioned in this paper:
Trogkanis, Nikolaos and Elkan, Charles
Conclusions
plication of CRFs , which are a major advance of recent years in machine learning.
Conclusions
A third contribution of our work is a demonstration that current CRF methods can be used straightforwardly for an important application and outperform state-of—the-art commercial and open-source software; we hope that this demonstration accelerates the widespread use of CRFs .
Introduction
Research on structured learning has been highly successful, with sequence classification as its most important and successful subfield, and with conditional random fields ( CRFs ) as the most influential approach to learning sequence classifiers.
Introduction
we show that CRFs can achieve extremely good performance on the hyphenation task.
CRFs is mentioned in 4 sentences in this paper.
Topics mentioned in this paper: