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» Using Information Extraction to Improve Document Retrieval
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MM
2006
ACM
142views Multimedia» more  MM 2006»
16 years 23 days ago
Large-scale video retrieval via semantic classification
ons for this project. Most recent ones are listed at the end of this abstract. In the future, feature selection will be integrated in the multi-class EM algorithm to improve the pe...
Hangzai Luo, Jianping Fan
WSDM
2010
ACM
211views Data Mining» more  WSDM 2010»
15 years 11 months ago
IntervalRank - Isotonic Regression with Listwise and Pairwise Constraints
Ranking a set of retrieved documents according to their relevance to a given query has become a popular problem at the intersection of web search, machine learning, and informatio...
Taesup Moon, Alex Smola, Yi Chang, Zhaohui Zheng
EPIA
2009
Springer
16 years 1 months ago
Classifying Documents According to Locational Relevance
This paper presents an approach for categorizing documents according to their implicit locational relevance. We report a thorough evaluation of several classifiers designed for th...
Ivo Anastácio, Bruno Martins, Pável ...
CIKM
2011
Springer
14 years 6 months ago
Ranking-based processing of SQL queries
A growing number of applications are built on top of search engines and issue complex structured queries. This paper contributes a customisable ranking-based processing of such qu...
Hany Azzam, Thomas Roelleke, Sirvan Yahyaei
ENGL
2008
116views more  ENGL 2008»
15 years 6 months ago
A Low Cost Machine Translation Method for Cross-Lingual Information Retrieval
In one form or another language translation is a necessary part of cross-lingual information retrieval systems. Often times this is accomplished using machine translation systems....
David B. Bracewell, Fuji Ren, Shingo Kuroiwa