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» Document Retrieval using a Probabilistic Knowledge Model
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ACL
2003
13 years 8 months ago
A Ranking Model of Proximal and Structural Text Retrieval Based on Region Algebra
This paper investigates an application of the ranked region algebra to information retrieval from large scale but unannotated documents. We automatically annotated documents with ...
Katsuya Masuda
TRECVID
2008
13 years 8 months ago
Semantic Video Annotation using Background Knowledge and Similarity-based Video Retrieval
We describe our experiments for the High-level Feature Extraction (FE) and Search (SE) tasks. We submitted two automatic runs to the FE task, the first one (MMIS alexei) was based ...
Ainhoa Llorente, Srdan Zagorac, Suzanne Little, Ru...
AIS
2004
Springer
14 years 24 days ago
Integrated Term Weighting, Visualization, and User Interface Development for Bioinformation Retrieval
This project implements an integrated biological information website that classifies technical documents, learns about users' interests, and offers intuitive interactive visua...
Min Hong, Anis Kairmpour-fard, Steve Russell, Lawr...
SIGIR
2008
ACM
13 years 7 months ago
A new probabilistic retrieval model based on the dirichlet compound multinomial distribution
The classical probabilistic models attempt to capture the Ad hoc information retrieval problem within a rigorous probabilistic framework. It has long been recognized that the prim...
Zuobing Xu, Ram Akella
SIGIR
2008
ACM
13 years 7 months ago
Re-ranking search results using document-passage graphs
We present a novel passage-based approach to re-ranking documents in an initially retrieved list so as to improve precision at top ranks. While most work on passage-based document...
Michael Bendersky, Oren Kurland