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NIPS
2008
15 years 6 months ago
Structured ranking learning using cumulative distribution networks
Ranking is at the heart of many information retrieval applications. Unlike standard regression or classification in which we predict outputs independently, in ranking we are inter...
Jim C. Huang, Brendan J. Frey
NIPS
2008
15 years 6 months ago
Global Ranking Using Continuous Conditional Random Fields
This paper studies global ranking problem by learning to rank methods. Conventional learning to rank methods are usually designed for `local ranking', in the sense that the r...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
ACL
2006
15 years 6 months ago
Chinese-English Term Translation Mining Based on Semantic Prediction
Using abundant Web resources to mine Chinese term translations can be applied in many fields such as reading/writing assistant, machine translation and crosslanguage information r...
Gaolin Fang, Hao Yu, Fumihito Nishino
ECIR
2004
Springer
15 years 6 months ago
Performance Analysis of Distributed Architectures to Index One Terabyte of Text
We simulate different architectures of a distributed Information Retrieval system on a very large Web collection, in order to work out the optimal setting for a particular set of r...
Fidel Cacheda, Vassilis Plachouras, Iadh Ounis
NLUCS
2004
15 years 6 months ago
Making Cognitive Summarization Agents Work In A Real-World Domain
The advantage of cognitively motivated automatic summarizing is that human users can better understand what happens. This improves acceptability. The basic empirical finding in hum...
Brigitte Endres-Niggemeyer, Elisabeth Wansorra