COLING
2010
13 years 6 months ago
2010
It has been known that a combination of multiple kernels and addition of various resources are the best options for improving effectiveness of kernel-based PPI extraction methods....
PKDD
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. In this paper, we present an extensive study of the cuttingplane algorithm (CPA) applied to structural kernels for advanced text classification on large datasets. In par...
ACL
2006
14 years 28 days ago
2006
This paper proposes an efficient method of sentence retrieval based on syntactic structure. Collins proposed Tree Kernel to calculate structural similarity. However, structual ret...
ACL
2006
14 years 28 days ago
2006
A hybrid convolution tree kernel is proposed in this paper to effectively model syntactic structures for semantic role labeling (SRL). The hybrid kernel consists of two individual...
ACL
2004
14 years 28 days ago
2004
We extend previous work on tree kernels to estimate the similarity between the dependency trees of sentences. Using this kernel within a Support Vector Machine, we detect and clas...
ICONIP
2007
14 years 29 days ago
2007
In this paper, we discuss kernels that can be applied for the classification of XML documents based on their DOM trees. DOM trees are ordered trees in which every node might be la...
EMNLP
2007
14 years 29 days 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...
ACL
2007
14 years 1 months ago
2007
Convolution tree kernel has shown promising results in semantic role classification. However, it only carries out hard matching, which may lead to over-fitting and less accurate s...
SIGIR
2003
ACM
14 years 4 months ago
2003
ACM
Question classification is very important for question answering. This paper presents our research work on automatic question classification through machine learning approaches. W...
MIR
2006
ACM
14 years 5 months ago
2006
ACM
Scalable approaches to video content classification are limited by an inability to automatically generate representations of events ode abstract temporal structure. This paper pre...