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» Using Document Dimensions for Enhanced Information Retrieval
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ICASSP
2008
IEEE
15 years 11 months ago
On-demand new word learning using world wide web
Most of the Web-based methods for lexicon augmenting consist in capturing global semantic features of the targeted domain in order to collect relevant documents from the Web. We s...
Stanislas Oger, Georges Linares, Fréd&eacut...
SIGDOC
2004
ACM
15 years 10 months ago
Liability for defective content
Software publishers and information service providers publish information about their own products and about other products and people. Additional content might be incidental, suc...
Cem Kaner
CIKM
2008
Springer
15 years 7 months ago
Identifying table boundaries in digital documents via sparse line detection
Most prior work on information extraction has focused on extracting information from text in digital documents. However, often, the most important information being reported in an...
Ying Liu, Prasenjit Mitra, C. Lee Giles
IJCAI
2007
15 years 6 months ago
Semantic Smoothing of Document Models for Agglomerative Clustering
In this paper, we argue that the agglomerative clustering with vector cosine similarity measure performs poorly due to two reasons. First, the nearest neighbors of a document belo...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
CIKM
2006
Springer
15 years 8 months ago
A probabilistic relevance propagation model for hypertext retrieval
A major challenge in developing models for hypertext retrieval is to effectively combine content information with the link structure available in hypertext collections. Although s...
Azadeh Shakery, ChengXiang Zhai