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» Word Particles Applied to Information Retrieval
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SPIRE
2004
Springer
14 years 1 months ago
Dealing with Syntactic Variation Through a Locality-Based Approach
To date, attempts for applying syntactic information in the document-based retrieval model dominant have led to little practical improvement, mainly due to the problems associated ...
Jesús Vilares Ferro, Miguel A. Alonso
ECML
2007
Springer
14 years 1 months ago
Discovering Word Meanings Based on Frequent Termsets
Word meaning ambiguity has always been an important problem in information retrieval and extraction, as well as, text mining (documents clustering and classification). Knowledge di...
Henryk Rybinski, Marzena Kryszkiewicz, Grzegorz Pr...
INTERSPEECH
2010
13 years 2 months ago
Similarity scoring for recognizing repeated out-of-vocabulary words
We develop a similarity measure to detect repeatedly occurring Out-of-Vocabulary words (OOV), since these carry important information. Sub-word sequences in the recognition output...
Mirko Hannemann, Stefan Kombrink, Martin Karafi&aa...
ICIP
2009
IEEE
13 years 5 months ago
Expanded bag of words representation for object classification
Currently, the bag of visual words (BOW) representation has received wide applications in object categorization. However, the BOW representation ignores the dependency relationshi...
Tinglin Liu, Jing Liu, Qingshan Liu, Hanqing Lu
JMMA
2010
162views more  JMMA 2010»
13 years 2 months ago
Co-clustering Documents and Words by Minimizing the Normalized Cut Objective Function
This paper follows a word-document co-clustering model independently introduced in 2001 by several authors such as I.S. Dhillon, H. Zha and C. Ding. This model consists in creatin...
Charles-Edmond Bichot