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SIGIR
2003
ACM
13 years 9 months ago
Text categorization by boosting automatically extracted concepts
Term-based representations of documents have found widespread use in information retrieval. However, one of the main shortcomings of such methods is that they largely disregard le...
Lijuan Cai, Thomas Hofmann
NLPRS
2001
Springer
13 years 8 months ago
Linguistic Techniques to Improve the Performance of Automatic Text Categorization
This paper presents a method for incorporating natural language processing into existing text categorization procedures. Three aspects are considered in the investigation: (i) a m...
Akiko N. Aizawa
ICAIL
2003
ACM
13 years 9 months ago
Concept Extraction from Legal Cases: The Use of a Statistic of Coincidence
Effective retrieval of court decisions is important. Automatically identifying legal concepts in the decision texts would be very helpful. In this paper we investigate how a stat...
Marie-Francine Moens, Roxana Angheluta
ML
2000
ACM
149views Machine Learning» more  ML 2000»
13 years 4 months ago
BoosTexter: A Boosting-based System for Text Categorization
This work focuses on algorithms which learn from examples to perform multiclass text and speech categorization tasks. Our approach is based on a new and improved family of boosting...
Robert E. Schapire, Yoram Singer
ACL
2006
13 years 5 months ago
A Study on Automatically Extracted Keywords in Text Categorization
This paper presents a study on if and how automatically extracted keywords can be used to improve text categorization. In summary we show that a higher performance -- as measured ...
Anette Hulth, Beáta Megyesi