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» Document Retrieval using a Probabilistic Knowledge Model
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ECIR
2008
Springer
14 years 11 months ago
Robust Query-Specific Pseudo Feedback Document Selection for Query Expansion
In document retrieval using pseudo relevance feedback, after initial ranking, a fixed number of top-ranked documents are selected as feedback to build a new expansion query model. ...
Qiang Huang, Dawei Song, Stefan M. Rüger
SPIRE
2004
Springer
15 years 3 months ago
Dealing with Syntactic Variation Through a Locality-Based Approach
To date, attempts for applying syntactic information in the document-based retrieval model dominant have led to little practical improvement, mainly due to the problems associated ...
Jesús Vilares Ferro, Miguel A. Alonso
SIGIR
2002
ACM
14 years 9 months ago
Document clustering with cluster refinement and model selection capabilities
In this paper, we propose a document clustering method that strives to achieve: (1) a high accuracy of document clustering, and (2) the capability of estimating the number of clus...
Xin Liu, Yihong Gong, Wei Xu, Shenghuo Zhu
WWW
2006
ACM
15 years 10 months ago
Using symbolic objects to cluster web documents
Web Clustering is useful for several activities in the WWW, from automatically building web directories to improve retrieval performance. Nevertheless, due to the huge size of the...
Esteban Meneses, Oldemar Rodríguez-Rojas
CVPR
2009
IEEE
15 years 1 months ago
Robust unsupervised segmentation of degraded document images with topic models
Segmentation of document images remains a challenging vision problem. Although document images have a structured layout, capturing enough of it for segmentation can be difficult....
Timothy J. Burns, Jason J. Corso