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NAACL
2007
13 years 6 months ago
Using "Annotator Rationales" to Improve Machine Learning for Text Categorization
We propose a new framework for supervised machine learning. Our goal is to learn from smaller amounts of supervised training data, by collecting a richer kind of training data: an...
Omar Zaidan, Jason Eisner, Christine D. Piatko
MEDINFO
2007
13 years 6 months ago
Using Discourse Analysis to Improve Text Categorization in MEDLINE
PROBLEM: Automatic keyword assignment has been largely studied in medical informatics in the context of the MEDLINE database, both for helping search in MEDLINE and in order to pr...
Patrick Ruch, Antoine Geissbühler, Julien Gob...
ISDA
2008
IEEE
13 years 11 months ago
Improving VG-RAM WNN Multi-label Text Categorization via Label Correlation
In multi-label text databases one or more labels, or categories, can be assigned to a single document. In many such databases there can be correlation on the assignment of subsets...
Alberto Ferreira de Souza, Claudine Badue, Bruno Z...
ICML
1997
IEEE
14 years 5 months ago
A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization
The Rocchio relevance feedback algorithm is one of the most popular and widely applied learning methods from information retrieval. Here, a probabilistic analysis of this algorith...
Thorsten Joachims
ECML
2006
Springer
13 years 6 months ago
Distributional Features for Text Categorization
Abstract-- Text categorization is the task of assigning predefined categories to natural language text. With the widely used `bag of words' representation, previous researches...
Xiao-Bing Xue, Zhi-Hua Zhou