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SIGIR
2011
ACM
12 years 10 months ago
Learning to rank from a noisy crowd
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Abhimanu Kumar, Matthew Lease
AAAI
1994
13 years 8 months ago
An Instructional Environment for Practicing Argumentation Skills
CAT0 is an instructions environment for practicing basic skills of legal research: to use cases in arguments about a problem situation and to test a theory about a legal domain. U...
Vincent Aleven, Kevin D. Ashley
VISSYM
2004
13 years 8 months ago
Occlusion Culling for Sub-Surface Models in Geo-Scientific Applications
We present a three pass occlusion culling algorithm, which makes efficient use of hardware support. Our geo-scientific sub-surface data sets consist typically of a set of high res...
John Plate, Anselm Grundhöfer, Benjamin Schmi...
FLAIRS
2004
13 years 8 months ago
Automatic Generation of Background Text to Aid Classification
We illustrate that Web searches can often be utilized to generate background text for use with text classification. This is the case because there are frequently many pages on the...
Sarah Zelikovitz, Robert Hafner
JUCS
2002
120views more  JUCS 2002»
13 years 7 months ago
Instance Cooperative Memory to Improve Query Expansion in Information Retrieval Systems
The main goal of this research is to improve Information Retrieval Systems by enabling them to generate search outcomes that are relevant and customized to each specific user. Our ...
Lobna Jeribi, Béatrice Rumpler