18 search results - page 1 / 4 » Semi-Supervised Convolution Graph Kernels for Relation Extra... |
SDM
2011
SIAM
12 years 7 months ago
2011
SIAM
Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
TIT
2008
13 years 4 months ago
2008
We consider a framework for semi-supervised learning using spectral decomposition-based unsupervised kernel design. We relate this approach to previously proposed semi-supervised l...
ACL
2006
13 years 6 months ago
2006
Shortage of manually labeled data is an obstacle to supervised relation extraction methods. In this paper we investigate a graph based semi-supervised learning algorithm, a label ...
AIRS
2008
Springer
13 years 11 months ago
2008
Springer
Abstract. In this paper, we mainly explore the effectiveness of two kernelbased methods, the convolution tree kernel and the shortest path dependency kernel, for Chinese relation e...
EMNLP
2007
13 years 6 months ago
2007
This paper proposes a tree kernel with contextsensitive structured parse tree information for relation extraction. It resolves two critical problems in previous tree kernels for r...