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SIGIR
2012
ACM
13 years 23 days ago
Top-k learning to rank: labeling, ranking and evaluation
In this paper, we propose a novel top-k learning to rank framework, which involves labeling strategy, ranking model and evaluation measure. The motivation comes from the difficul...
Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng
BMCBI
2008
153views more  BMCBI 2008»
14 years 10 months ago
How to make the most of NE dictionaries in statistical NER
Background: When term ambiguity and variability are very high, dictionary-based Named Entity Recognition (NER) is not an ideal solution even though large-scale terminological reso...
Yutaka Sasaki, Yoshimasa Tsuruoka, John McNaught, ...
CIKM
2009
Springer
15 years 4 months ago
Interactive, topic-based visual text summarization and analysis
We are building an interactive, visual text analysis tool that aids users in analyzing a large collection of text. Unlike existing work in text analysis, which focuses either on d...
Shixia Liu, Michelle X. Zhou, Shimei Pan, Weihong ...
SIGIR
2008
ACM
14 years 10 months ago
Topic-bridged PLSA for cross-domain text classification
In many Web applications, such as blog classification and newsgroup classification, labeled data are in short supply. It often happens that obtaining labeled data in a new domain ...
Gui-Rong Xue, Wenyuan Dai, Qiang Yang, Yong Yu
ASIACRYPT
2010
Springer
14 years 8 months ago
The World Is Not Enough: Another Look on Second-Order DPA
In a recent work, Mangard et al. showed that under certain assumptions, the (so-called) standard univariate side-channel attacks using a distance-of-means test, correlation analysi...
François-Xavier Standaert, Nicolas Veyrat-C...