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» Using Information Extraction to Improve Document Retrieval
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LREC
2010
237views Education» more  LREC 2010»
15 years 8 months ago
Entity Mention Detection using a Combination of Redundancy-Driven Classifiers
We present an experimental framework for Entity Mention Detection in which two different classifiers are combined to exploit Data Redundancy attained through the annotation of a l...
Silvana Marianela Bernaola Biggio, Manuela Speranz...
BMCBI
2008
147views more  BMCBI 2008»
15 years 7 months ago
Transmembrane helix prediction using amino acid property features and latent semantic analysis
Background: Prediction of transmembrane (TM) helices by statistical methods suffers from lack of sufficient training data. Current best methods use hundreds or even thousands of f...
Madhavi Ganapathiraju, Narayanas Balakrishnan, Raj...
CIVR
2009
Springer
145views Image Analysis» more  CIVR 2009»
16 years 1 months ago
Jointly optimising relevance and diversity in image retrieval
In this paper we present a method to jointly optimise the relevance and the diversity of the results in image retrieval. Without considering diversity, image retrieval systems oft...
Thomas Deselaers, Tobias Gass, Philippe Dreuw, Her...
RWEB
2007
Springer
16 years 1 months ago
Semantic Descriptions in an Enterprise Search Solution
Today customers want to use powerful search engines for their huge and increasing content repositories. Full-text-only products with simple result lists are not enough to satisfy t...
Uwe Crenze, Stefan Köhler, Kristian Hermsdorf...
TAL
2004
Springer
16 years 6 days ago
One Size Fits All? A Simple Technique to Perform Several NLP Tasks
Word fragments or n-grams have been widely used to perform different Natural Language Processing tasks such as information retrieval [1] [2], document categorization [3], automatic...
Daniel Gayo-Avello, Darío Álvarez Gu...