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» Automatic Learning for Semantic Collocation
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ICDAR
2007
IEEE
14 years 2 months ago
Context-Sensitive Error Correction: Using Topic Models to Improve OCR
Modern optical character recognition software relies on human interaction to correct misrecognized characters. Even though the software often reliably identifies low-confidence ...
Michael L. Wick, Michael G. Ross, Erik G. Learned-...
WEBDB
2009
Springer
115views Database» more  WEBDB 2009»
14 years 3 months ago
A Machine Learning Approach to Foreign Key Discovery
We study the problem of automatically discovering semantic associations between schema elements, namely foreign keys. This problem is important in all applications where data sets...
Alexandra Rostin, Oliver Albrecht, Jana Bauckmann,...
ACL
2012
11 years 11 months ago
Joint Learning of a Dual SMT System for Paraphrase Generation
SMT has been used in paraphrase generation by translating a source sentence into another (pivot) language and then back into the source. The resulting sentences can be used as can...
Hong Sun, Ming Zhou
COOPIS
2003
IEEE
14 years 1 months ago
Mining for Lexons: Applying Unsupervised Learning Methods to Create Ontology Bases
Ontologies in current computer science parlance are computer based resources that represent agreed domain semantics. This paper first introduces ontologies in general and subseque...
Marie-Laure Reinberger, Peter Spyns, Walter Daelem...
COLING
2010
13 years 3 months ago
Learning Summary Content Units with Topic Modeling
In the field of multi-document summarization, the Pyramid method has become an important approach for evaluating machine-generated summaries. The method is based on the manual ann...
Leonhard Hennig, Ernesto William De Luca, Sahin Al...