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IJCNLP
2005
Springer
14 years 1 months ago
Assigning Polarity Scores to Reviews Using Machine Learning Techniques
We propose a novel type of document classification task that quantifies how much a given document (review) appreciates the target object using not binary polarity (good or bad) b...
Daisuke Okanohara, Jun-ichi Tsujii
CIKM
2008
Springer
13 years 9 months ago
Learning to link with wikipedia
This paper describes how to automatically cross-reference documents with Wikipedia: the largest knowledge base ever known. It explains how machine learning can be used to identify...
David N. Milne, Ian H. Witten
AIIA
2003
Springer
14 years 29 days ago
Incremental Induction of Rules for Document Image Understanding
This paper aims at presenting the application of first-order logic machine learning techniques to two document domains in order to learn rules for recognizing the semantic role of...
Stefano Ferilli, Nicola Di Mauro, Teresa Maria Alt...
ICML
2010
IEEE
13 years 8 months ago
The Role of Machine Learning in Business Optimization
In a trend that reflects the increasing demand for intelligent applications driven by business data, IBM today is building out a significant number of applications that leverage m...
Chid Apte
ISEMANTICS
2010
13 years 9 months ago
STEX+: a system for flexible formalization of linked data
We present the STEX system, a semantic extension of LATEX, that allows for producing high-quality PDF documents for (proof)reading and printing, as well as semantic XML/OMDoc docu...
Andrea Kohlhase, Michael Kohlhase, Christoph Lange...