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ICML
2010
IEEE
13 years 9 months ago
Proximal Methods for Sparse Hierarchical Dictionary Learning
We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
Rodolphe Jenatton, Julien Mairal, Guillaume Obozin...
CIKM
2008
Springer
13 years 9 months ago
Joke retrieval: recognizing the same joke told differently
In a corpus of jokes, a human might judge two documents to be the "same joke" even if characters, locations, and other details are varied. A given joke could be retold w...
Lisa Friedland, James Allan
BMCBI
2007
146views more  BMCBI 2007»
13 years 8 months ago
PubMed related articles: a probabilistic topic-based model for content similarity
Background: We present a probabilistic topic-based model for content similarity called pmra that underlies the related article search feature in PubMed. Whether or not a document ...
Jimmy J. Lin, W. John Wilbur
TREC
2003
13 years 9 months ago
Relevance Propagation for Topic Distillation UIUC TREC 2003 Web Track Experiments
In this paper, we report our experiments on the Web Track TREC-2003. We submitted five runs for the topic distillation task. Our goal was to evaluate the standard language modeli...
Azadeh Shakery, ChengXiang Zhai
WWW
2010
ACM
14 years 2 months ago
A scalable machine-learning approach for semi-structured named entity recognition
Named entity recognition studies the problem of locating and classifying parts of free text into a set of predefined categories. Although extensive research has focused on the de...
Utku Irmak, Reiner Kraft