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» Using Information Extraction to Improve Document Retrieval
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CIKM
2010
Springer
15 years 4 months ago
Fast dimension reduction for document classification based on imprecise spectrum analysis
This paper proposes an algorithm called Imprecise Spectrum Analysis (ISA) to carry out fast dimension reduction for document classification. ISA is designed based on the one-sided...
Hu Guan, Bin Xiao, Jingyu Zhou, Minyi Guo, Tao Yan...
ICASSP
2010
IEEE
15 years 6 months ago
Using n-best recognition output for extractive summarization and keyword extraction in meeting speech
There has been increasing interest recently in meeting understanding, such as summarization, browsing, action item detection, and topic segmentation. However, there is very limite...
Yang Liu, Shasha Xie, Fei Liu
DANTE
1999
IEEE
144views Database» more  DANTE 1999»
15 years 10 months ago
Issues in Using Specifications to Improve Content-Based Search of Multimedia Data
Many current multimedia database management systems perform content-based retrieval of images by extracting the values of various features from every object stored in their system...
Leonard Brown, Le Gruenwald, Gregory D. Speegle
IWC
1998
108views more  IWC 1998»
15 years 5 months ago
How many relevances in information retrieval?
The aim of an information retrieval system is to nd relevant documents, thus relevance is a (if not `the') central concept of information retrieval. Notwithstanding its impor...
Stefano Mizzaro
IAT
2010
IEEE
15 years 4 months ago
Information Retrieval eXperience (IRX): Towards a Human-Centered Personalized Model of Relevance
We approach Information Retrieval (IR) from a User eXperience (UX) perspective. Through introducing a model for Information Retrieval eXperience (IRX), this paper operationalizes a...
Frans van der Sluis, Egon L. van den Broek, Betsy ...