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» Using Information Extraction to Improve Document Retrieval
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SIGIR
2003
ACM
16 years 1 days ago
Single n-gram stemming
Stemming can improve retrieval accuracy, but stemmers are language-specific. Character n-gram tokenization achieves many of the benefits of stemming in a language independent way,...
James Mayfield, Paul McNamee
WSDM
2012
ACM
352views Data Mining» more  WSDM 2012»
14 years 2 months ago
Multi-relational matrix factorization using bayesian personalized ranking for social network data
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects. On...
Artus Krohn-Grimberghe, Lucas Drumond, Christoph F...
BMCBI
2005
189views more  BMCBI 2005»
15 years 6 months ago
A sentence sliding window approach to extract protein annotations from biomedical articles
Background: Within the emerging field of text mining and statistical natural language processing (NLP) applied to biomedical articles, a broad variety of techniques have been deve...
Martin Krallinger, Maria Padron, Alfonso Valencia
ISMIR
2005
Springer
179views Music» more  ISMIR 2005»
16 years 8 days ago
Evaluation of Feature Extractors and Psycho-Acoustic Transformations for Music Genre Classification
We present a study on the importance of psycho-acoustic transformations for effective audio feature calculation. From the results, both crucial and problematic parts of the algori...
Thomas Lidy, Andreas Rauber
ACL
2006
15 years 8 months ago
Concept Unification of Terms in Different Languages for IR
Due to the historical and cultural reasons, English phases, especially the proper nouns and new words, frequently appear in Web pages written primarily in Asian languages such as ...
Qing Li, Sung-Hyon Myaeng, Yun Jin, Bo-Yeong Kang