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» Using Information Extraction to Improve Document Retrieval
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NIPS
2008
15 years 8 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...
CLEF
2006
Springer
15 years 10 months ago
A Bag-of-Words Based Ranking Method for the Wikipedia Question Answering Task
This paper presents a simple approach to the Wikipedia Question Answering pilot task in CLEF 2006. The approach ranks the snippets, retrieved using the Lucene search engine, by mea...
Davide Buscaldi, Paolo Rosso
EUROSPI
2008
Springer
15 years 8 months ago
Lightweight Process Documentation: Just Enough Structure in Automotive Pre-development
Pre-development in the automotive sector is informally organized to support the engineers trying out new ideas and generally being creative. If feasibility studies reveal system�...
Kai Stapel, Eric Knauss, Christian Allmann
FLAIRS
2007
15 years 9 months ago
The Evolution and Evaluation of an Internet Search Tool for Information Analysts
We are working on a project aimed at building next generation analyst support tools that focus analysts’ attention on the most critical and novel information found within the da...
Elizabeth T. Whitaker, Robert L. Simpson Jr.
SC
1995
ACM
15 years 10 months ago
Communication Optimizations for Parallel Computing Using Data Access Information
Given the large communication overheads characteristic of modern parallel machines, optimizations that eliminate, hide or parallelize communication may improve the performance of ...
Martin C. Rinard