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» Linguistic Knowledge can Improve Information Retrieval
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ACL
2003
15 years 7 months ago
Unsupervised Learning of Arabic Stemming Using a Parallel Corpus
This paper presents an unsupervised learning approach to building a non-English (Arabic) stemmer. The stemming model is based on statistical machine translation and it uses an Eng...
Monica Rogati, J. Scott McCarley, Yiming Yang
GEOINFORMATICA
2006
133views more  GEOINFORMATICA 2006»
15 years 6 months ago
Indexing Fast Moving Objects for kNN Queries Based on Nearest Landmarks
With the rapid advancements in positioning technologies such as the Global Positioning System (GPS) and wireless communications, the tracking of continuously moving objects has bec...
Dan Lin, Rui Zhang 0003, Aoying Zhou
NOTERE
2010
15 years 1 months ago
Experimental assessment of the TARGET adaptive ontology-based Web search framework
Finding relevant information on the Web can be a complex task for most of the users. Although Web search applications are improving, they still need to be more intelligent to adapt...
Nicolas Guelfi, Cédric Pruski, Chantal Reyn...
ISBRA
2011
Springer
14 years 10 months ago
Query-Adaptive Ranking with Support Vector Machines for Protein Homology Prediction
Abstract. Protein homology prediction is a crucial step in templatebased protein structure prediction. The functions that rank the proteins in a database according to their homolog...
Yan Fu, Rong Pan, Qiang Yang, Wen Gao
CAISE
2005
Springer
16 years 8 hour ago
Query Processing Using Ontologies
Abstract. Recently, the database and AI research communities have paid increased attention to ontologies. The main motivating reason is that ontologies promise solutions for comple...
Chokri Ben Necib, Johann Christoph Freytag