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AIIA
2007
Springer
14 years 4 months ago
A Tree Kernel-Based Shallow Semantic Parser for Thematic Role Extraction
We present a simple, two-steps supervised strategy for the identification and classification of thematic roles in natural language texts. We employ no external source of informat...
Daniele Pighin, Alessandro Moschitti
ICML
2004
IEEE
14 years 3 months ago
Kernel-based discriminative learning algorithms for labeling sequences, trees, and graphs
We introduce a new perceptron-based discriminative learning algorithm for labeling structured data such as sequences, trees, and graphs. Since it is fully kernelized and uses poin...
Hisashi Kashima, Yuta Tsuboi
ICPR
2006
IEEE
14 years 11 months ago
Metric tree partitioning and Taylor approximation for fast support vector classification
This paper presents a method to speed up support vector classification, especially important when data is highdimensional. Unlike previous approaches which focus on less support v...
Thang V. Pham, Arnold W. M. Smeulders
PKDD
2005
Springer
130views Data Mining» more  PKDD 2005»
14 years 3 months ago
Unsupervised Discretization Using Tree-Based Density Estimation
This paper presents an unsupervised discretization method that performs density estimation for univariate data. The subintervals that the discretization produces can be used as the...
Gabi Schmidberger, Eibe Frank
ACISICIS
2005
IEEE
13 years 12 months ago
Equivalence of Transforming Non-Linear DACG to Linear Concept Tree
This paper introduces a strategy and its theory proof to transform non-linear concept graph: Directed Acyclic Concept Graph (DACG) into a linear concept tree. The transformation i...
Wenyi Bi, Junping Sun