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» Automatic document indexing in large medical collections
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KDD
2006
ACM
118views Data Mining» more  KDD 2006»
16 years 4 days ago
Reducing the human overhead in text categorization
Many applications in text processing require significant human effort for either labeling large document collections (when learning statistical models) or extrapolating rules from...
Arnd Christian König, Eric Brill
IUI
2009
ACM
15 years 8 months ago
Using salience to segment desktop activity into projects
Knowledge workers must manage large numbers of simultaneous, ongoing projects that collectively involve huge numbers of resources (documents, emails, web pages, calendar items, et...
Daniel Lowd, Nicholas Kushmerick
WWW
2006
ACM
16 years 12 days ago
Bootstrapping semantics on the web: meaning elicitation from schemas
In most web sites, web-based applications (such as web portals, emarketplaces, search engines), and in the file systems of personal computers, a wide variety of schemas (such as t...
Paolo Bouquet, Luciano Serafini, Stefano Zanobini,...
KDD
2007
ACM
167views Data Mining» more  KDD 2007»
16 years 4 days ago
Multiscale topic tomography
Modeling the evolution of topics with time is of great value in automatic summarization and analysis of large document collections. In this work, we propose a new probabilistic gr...
Ramesh Nallapati, Susan Ditmore, John D. Lafferty,...
DEXAW
2010
IEEE
204views Database» more  DEXAW 2010»
15 years 25 days ago
Scalable Recursive Top-Down Hierarchical Clustering Approach with Implicit Model Selection for Textual Data Sets
Automatic generation of taxonomies can be useful for a wide area of applications. In our application scenario a topical hierarchy should be constructed reasonably fast from a large...
Markus Muhr, Vedran Sabol, Michael Granitzer