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» Kernel-based relation extraction from investigative data
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KES
2004
Springer
14 years 21 days ago
Knowledge Extraction from Semi-structured Data Based on Fuzzy Techniques
Abstract. In this work we propose a fuzzy technique to compare XML documents belonging to a semi-structured flow and sharing a common vocabulary of tags. Our approach is based on t...
Paolo Ceravolo, Maria Cristina Nocerino, Marco Viv...
WWW
2008
ACM
14 years 8 months ago
An initial investigation on evaluating semantic web instance data
Many emerging semantic web applications include ontologies from one set of authors and instance data from another (often much larger) set of authors. Often ontologies are reused a...
Li Ding, Jiao Tao, Deborah L. McGuinness
JMLR
2006
131views more  JMLR 2006»
13 years 7 months ago
On Representing and Generating Kernels by Fuzzy Equivalence Relations
Kernels are two-placed functions that can be interpreted as inner products in some Hilbert space. It is this property which makes kernels predestinated to carry linear models of l...
Bernhard Moser
DGO
2008
188views Education» more  DGO 2008»
13 years 8 months ago
Enabling synergy between psychology and natural language processing for e-Government: crime reporting and investigative intervie
We are developing an automated crime reporting and investigative interview system. The system incorporates cognitive interview techniques to maximize witness memory recall, and in...
Alicia Iriberri, Chih Hao Ku, Gondy Leroy
COLING
2010
13 years 2 months ago
Shallow Information Extraction from Medical Forum Data
We study a novel shallow information extraction problem that involves extracting sentences of a given set of topic categories from medical forum data. Given a corpus of medical fo...
Parikshit Sondhi, Manish Gupta, ChengXiang Zhai, J...