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CHI
2009
ACM
14 years 1 months ago
Connecting the dots with related notes
During visual analysis, users must often connect insights discovered at various points of time to understand implicit relations within their analysis. This process is often called...
Yedendra Babu Shrinivasan, David Gotz
AIRS
2008
Springer
14 years 6 days ago
An Alignment-Based Approach to Semi-supervised Relation Extraction Including Multiple Arguments
We present an alignment-based approach to semi-supervised relation extraction task including more than two arguments. We concentrate on improving not only the precision of the extr...
Seokhwan Kim, Minwoo Jeong, Gary Geunbae Lee, Kwan...
ACL
2010
13 years 8 months ago
Learning Arguments and Supertypes of Semantic Relations Using Recursive Patterns
A challenging problem in open information extraction and text mining is the learning of the selectional restrictions of semantic relations. We propose a minimally supervised boots...
Zornitsa Kozareva, Eduard H. Hovy
ICPR
2010
IEEE
13 years 8 months ago
A Practical Heterogeneous Classifier for Relational Databases
Most enterprise data is distributed in multiple relational databases with expert-designed schema. Using traditional single-table machine learning techniques over such data not onl...
Geetha Manjunath, M. Narasimha Murty, Dinkar Sitar...
AIRS
2008
Springer
14 years 4 months ago
Study of Kernel-Based Methods for Chinese Relation Extraction
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...
Ruihong Huang, Le Sun, Yuanyong Feng