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ICDAR
2003
IEEE
15 years 9 months ago
Learning the lexicon from raw texts for open-vocabulary Korean word recognition
In this paper, we propose a novel method of building a language model for open-vocabulary Korean word recognition. Due to the complex morphology of Korean, it is inappropriate to ...
Sungho Ryu, Jin Hyung Kim
EUROGP
2010
Springer
166views Optimization» more  EUROGP 2010»
15 years 9 months ago
Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...
Katya Vladislavleva, Kalyan Veeramachaneni, Una-Ma...
FLAIRS
2008
15 years 6 months ago
Unsupervised Learning of General-Specific Noun Relations from the Web
In this paper, we propose a new methodology based on directed weighted graphs and the TextRank algorithm to automatically induce general-specific noun relations from web corpora f...
Gaël Dias, Raycho Mukelov, Guillaume Cleuziou
EMNLP
2006
15 years 5 months ago
Learning Field Compatibilities to Extract Database Records from Unstructured Text
Named-entity recognition systems extract entities such as people, organizations, and locations from unstructured text. Rather than extract these mentions in isolation, this paper ...
Michael L. Wick, Aron Culotta, Andrew McCallum
SIGMOD
2003
ACM
133views Database» more  SIGMOD 2003»
16 years 4 months ago
Learning about data integration challenges from day one
I describe the format of the new version of an introductory database course that I taught at the University of Washington in Winter, 2003. The key idea underlying the course is to...
Alon Y. Halevy