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» Using Information Extraction to Improve Document Retrieval
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SAC
2008
ACM
15 years 3 months ago
Discovering relationships among categories using misclassification information
Knowledge of relationships among categories is of the interest in different domains such as text classification, content analysis, and text mining. We propose and evaluate approac...
Saket S. R. Mengle, Nazli Goharian, Alana Platt
BMCBI
2006
153views more  BMCBI 2006»
15 years 4 months ago
Automatic document classification of biological literature
Background: Document classification is a wide-spread problem with many applications, from organizing search engine snippets to spam filtering. We previously described Textpresso, ...
David Chen, Hans-Michael Müller, Paul W. Ster...
CLEF
2010
Springer
15 years 5 months ago
Multilingual Expert Search using Linked Open Data as Interlingual Representation
Abstract. Most Information Retrieval models take documents as Bagof-Words and are thereby bound to the language of the documents. In this paper, we present an approach using Linked...
Daniel Herzig, Hristina Taneva
SIGIR
2010
ACM
15 years 8 months ago
Positional relevance model for pseudo-relevance feedback
Pseudo-relevance feedback is an effective technique for improving retrieval results. Traditional feedback algorithms use a whole feedback document as a unit to extract words for ...
Yuanhua Lv, ChengXiang Zhai
IPM
2006
77views more  IPM 2006»
15 years 4 months ago
A general matrix framework for modelling Information Retrieval
Content-oriented retrieval models are based on a document-term matrix, whereas link-oriented retrieval models are based on an adjacent (parentchild) matrix. Term frequency and inv...
Thomas Rölleke, Theodora Tsikrika, Gabriella ...