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» Dimensionality Reduction for Text using Domain Knowledge
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77
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ICML
2010
IEEE
14 years 10 months ago
Projection Penalties: Dimension Reduction without Loss
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
Yi Zhang 0010, Jeff Schneider
80
Voted
ICCBR
2003
Springer
15 years 2 months ago
Unifying Weighting and Case Reduction Methods Based on Rough Sets to Improve Retrieval
Case-Based Reasoning systems usually retrieve cases using a similarity function based on K-NN or some derivatives. These functions are sensitive to irrelevant or noisy features. We...
Maria Salamó, Elisabet Golobardes
AAAI
1994
14 years 11 months ago
Corpus-Driven Knowledge Acquisition for Discourse Analysis
The availability of large on-line text corpora provides a natural and promising bridge between the worlds of natural language processing (NLP) and machine learning (ML). In recent...
Stephen Soderland, Wendy G. Lehnert
CORR
2006
Springer
71views Education» more  CORR 2006»
14 years 9 months ago
Using NLP to build the hypertextuel network of a back-of-the-book index
Relying on the idea that back-of-the-book indexes are traditional devices for navigation through large documents, we have developed a method to build a hypertextual network that h...
Touria Aït El Mekki, Adeline Nazarenko
COLING
1990
14 years 10 months ago
To Parse or Not to Parse: Relation-Driven Text Skimming
We have designed and implemented a text processing system that can extract important information from hundreds of paragraphs per hour and can be transported within weeks to a new ...
Paul S. Jacobs