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» Evaluation of text clustering methods using wordnet
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125
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NIPS
2008
15 years 2 months ago
Semi-supervised Learning with Weakly-Related Unlabeled Data: Towards Better Text Categorization
The cluster assumption is exploited by most semi-supervised learning (SSL) methods. However, if the unlabeled data is merely weakly related to the target classes, it becomes quest...
Liu Yang, Rong Jin, Rahul Sukthankar
96
Voted
ICIP
1997
IEEE
16 years 2 months ago
Surrounding Region Dependence Method for Detection of Clustered Microcalcifications on Mammograms
Clustered microcalcifications on X-ray mammograms are an important feature in the detection of breast cancer. For the detection of the clustered microcalcifications on digitized m...
Jong-Kook Kim, Hyun Wook Park
SIGIR
2009
ACM
15 years 7 months ago
Building enriched document representations using aggregated anchor text
It is well known that anchor text plays a critical role in a variety of search tasks performed over hypertextual domains, including enterprise search, wiki search, and web search....
Donald Metzler, Jasmine Novak, Hang Cui, Srihari R...
COOPIS
2003
IEEE
15 years 6 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...
84
Voted
CICLING
2010
Springer
15 years 7 months ago
Quantitative Evaluation of Grammaticality of Summaries
Automated evaluation is crucial in the context of automated text summaries, as is the case with evaluation of any of the language technologies. While the quality of a summary is de...
Ravikiran Vadlapudi, Rahul Katragadda