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CIKM
2011
Springer
14 years 7 months ago
Personalizing web search results by reading level
Traditionally, search engines have ignored the reading difficulty of documents and the reading proficiency of users in computing a document ranking. This is one reason why Web se...
Kevyn Collins-Thompson, Paul N. Bennett, Ryen W. W...
WWW
2009
ACM
16 years 8 months ago
Extracting article text from the web with maximum subsequence segmentation
Much of the information on the Web is found in articles from online news outlets, magazines, encyclopedias, review collections, and other sources. However, extracting this content...
Jeff Pasternack, Dan Roth
KDD
2004
ACM
210views Data Mining» more  KDD 2004»
16 years 7 months ago
Probabilistic author-topic models for information discovery
We propose a new unsupervised learning technique for extracting information from large text collections. We model documents as if they were generated by a two-stage stochastic pro...
Mark Steyvers, Padhraic Smyth, Michal Rosen-Zvi, T...
SIGMOD
2005
ACM
99views Database» more  SIGMOD 2005»
16 years 7 months ago
WOODSS and the Web: annotating and reusing scientific workflows
This paper discusses ongoing research on scientific workflows at the Institute of Computing, University of Campinas (IC - UNICAMP) Brazil. Our projects with bio-scientists have le...
Claudia Bauzer Medeiros, José de Jesús Pérez Al...
HIKM
2006
ACM
16 years 1 months ago
Epoch: an ontological framework to support clinical trials management
The increasing complexity of clinical trials has generated an enormous requirement for knowledge and information specification at all stages of the trials, including planning, doc...
Ravi D. Shankar, Susana B. Martins, Martin J. O'Co...