52 search results - page 10 / 11 » A Learning Approach for Word Sense Disambiguation in the Bio... |
NAACL
2007
13 years 6 months ago
2007
Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
JMLR
2010
13 years 2 days ago
2010
Feature selection for supervised learning can be greatly improved by making use of the fact that features often come in classes. For example, in gene expression data, the genes wh...
IRI
2007
IEEE
13 years 11 months ago
2007
IEEE
Ontology integration, alignment, and reuse are at the heart of Semantic Web vision. The alignment between two ontologies can be achieved easily provided both share the same axioma...
JMLR
2011
13 years 7 days ago
2011
We propose a framework MIC (Multiple Inclusion Criterion) for learning sparse models based on the information theoretic Minimum Description Length (MDL) principle. MIC provides an...
LREC
2010
13 years 6 months ago
2010
Existing approaches to classifying documents by sentiment include machine learning with features created from n-grams and part of speech. This paper explores a different approach ...