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» Learning Classifiers from Semantically Heterogeneous Data
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WWW
2007
ACM
14 years 10 months ago
Hierarchical, perceptron-like learning for ontology-based information extraction
Recent work on ontology-based Information Extraction (IE) has tried to make use of knowledge from the target ontology in order to improve semantic annotation results. However, ver...
Yaoyong Li, Kalina Bontcheva
AAAI
2008
14 years 11 days ago
Semi-supervised Classification Using Local and Global Regularization
In this paper, we propose a semi-supervised learning (SSL) algorithm based on local and global regularization. In the local regularization part, our algorithm constructs a regular...
Fei Wang, Tao Li, Gang Wang, Changshui Zhang
EMNLP
2011
12 years 9 months ago
Lexical Generalization in CCG Grammar Induction for Semantic Parsing
We consider the problem of learning factored probabilistic CCG grammars for semantic parsing from data containing sentences paired with logical-form meaning representations. Tradi...
Tom Kwiatkowski, Luke S. Zettlemoyer, Sharon Goldw...
IJCAT
2010
93views more  IJCAT 2010»
13 years 8 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...
BMCBI
2008
219views more  BMCBI 2008»
13 years 10 months ago
Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles
Background: Pancreatic cancer is the fourth leading cause of cancer death in the United States. Consequently, identification of clinically relevant biomarkers for the early detect...
Guangtao Ge, G. William Wong