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» Text Classification by Labeling Words
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110
Voted
CVPR
2010
IEEE
15 years 11 months ago
Connecting Modalities: Semi-supervised Segmentation and Annotation of Images Using Unaligned Text Corpora
We propose a semi-supervised model which segments and annotates images using very few labeled images and a large unaligned text corpus to relate image regions to text labels. Give...
Richard Socher, Li Fei-Fei
130
Voted
TSD
2001
Springer
15 years 7 months ago
Method for WordNet Enrichment Using WSD
This paper presents a new method to enrich semantically WordNet with categories from general domain classification systems. The method is performed in two consecutive steps. First,...
Andrés Montoyo, Manuel Palomar, German Riga...
127
Voted
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
16 years 3 months ago
A parallel learning algorithm for text classification
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
Canasai Kruengkrai, Chuleerat Jaruskulchai
109
Voted
FINTAL
2006
15 years 6 months ago
Selection Strategies for Multi-label Text Categorization
In multi-label text categorization, determining the final set of classes that will label a given document is not trivial. It implies first to determine whether a class is suitable ...
Arturo Montejo Ráez, Luis Alfonso Ure&ntild...
97
Voted
NAACL
2010
15 years 16 days ago
Subword Variation in Text Message Classification
For millions of people in less resourced regions of the world, text messages (SMS) provide the only regular contact with their doctor. Classifying messages by medical labels suppo...
Robert Munro, Christopher D. Manning