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» Negative Training Data Can be Harmful to Text Classification
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LREC
2010
126views Education» more  LREC 2010»
15 years 1 months ago
Predictive Features for Detecting Indefinite Polar Sentences
In recent years, text classification in sentiment analysis has mostly focused on two types of classification, the distinction between objective and subjective text, i.e. subjectiv...
Michael Wiegand, Dietrich Klakow
IEAAIE
2001
Springer
15 years 4 months ago
Selecting a Relevant Set of Examples to Learn IE-Rules
The growing availability of online text has lead to an increase in the use of automatic knowledge acquisition approaches from textual data, as in Information Extraction (IE). Some ...
Jordi Turmo, Horacio Rodríguez
CVPR
2010
IEEE
15 years 4 months ago
Taxonomic Classification for Web-based Videos
Categorizing web-based videos is an important yet challenging task. The difficulties arise from large data diversity within a category, lack of labeled data, and degradation of vi...
Yang Song, Ming Zhao, Jay Yagnik, Xiaoyun Wu
101
Voted
IDA
2002
Springer
14 years 11 months ago
Boosting strategy for classification
This paper introduces a strategy for training ensemble classifiers by analysing boosting within margin theory. We present a bound on the generalisation error of ensembled classifi...
Huma Lodhi, Grigoris J. Karakoulas, John Shawe-Tay...
85
Voted
LREC
2008
141views Education» more  LREC 2008»
15 years 1 months ago
New Resources for Document Classification, Analysis and Translation Technologies
The goal of the DARPA MADCAT (Multilingual Automatic Document Classification Analysis and Translation) Program is to automatically convert foreign language text images into Englis...
Stephanie Strassel, Lauren Friedman, Safa Ismael, ...