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IJCAT
2010
93views more  IJCAT 2010»
15 years 3 months ago
FAETON: Form Analysis and Extraction Tool for ONtology construction
Abstract: This paper presents a method for semi-automatically building tailored application ontologies from a set of data acquisition forms. Such ontologies are intended to facilit...
Rafael Berlanga Llavori, Ernesto Jiménez-Ru...
161
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ACL
2010
15 years 3 months ago
Experiments in Graph-Based Semi-Supervised Learning Methods for Class-Instance Acquisition
Graph-based semi-supervised learning (SSL) algorithms have been successfully used to extract class-instance pairs from large unstructured and structured text collections. However,...
Partha Pratim Talukdar, Fernando Pereira
140
Voted
ACL
2009
15 years 2 months ago
Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria
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...
Gregory Druck, Gideon S. Mann, Andrew McCallum
ICDM
2009
IEEE
197views Data Mining» more  ICDM 2009»
15 years 2 months ago
A Linear-Time Graph Kernel
The design of a good kernel is fundamental for knowledge discovery from graph-structured data. Existing graph kernels exploit only limited information about the graph structures bu...
Shohei Hido, Hisashi Kashima
IJSYSC
2010
65views more  IJSYSC 2010»
15 years 2 months ago
Partial state and input observability recovering by additional sensor implementation: a graph-theoretic approach
This paper deals with the problem of additional sensor location in order to recover the observability of any given part of the state and unknown input for structured linear system...
T. Boukhobza