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EMNLP
2010
14 years 11 months ago
Cross Language Text Classification by Model Translation and Semi-Supervised Learning
In this paper, we introduce a method that automatically builds text classifiers in a new language by training on already labeled data in another language. Our method transfers the...
Lei Shi, Rada Mihalcea, Mingjun Tian
LREC
2010
196views Education» more  LREC 2010»
15 years 2 months ago
Event Models for Historical Perspectives: Determining Relations between High and Low Level Events in Text, Based on the Classifi
In this paper, we report on a study that was performed within the "Semantics of History" project on how descriptions of historical events are realized in different types...
Agata Cybulska, Piek Vossen
RIAO
2000
15 years 2 months ago
Language sensitive text classification
It is a traditional belief that in order to scale-up to more effective retrieval and access methods modern Information Retrieval has to consider more the text content. The modalit...
Roberto Basili, Alessandro Moschitti, Maria Teresa...
CICLING
2005
Springer
15 years 7 months ago
A Supervised Clustering Method for Text Classification
This paper describes a supervised three-tier clustering method for classifying students’ essays of qualitative physics in the Why2-Atlas tutoring system. Our main purpose of cate...
Umarani Pappuswamy, Dumisizwe Bhembe, Pamela W. Jo...
ICDM
2003
IEEE
210views Data Mining» more  ICDM 2003»
15 years 6 months ago
CBC: Clustering Based Text Classification Requiring Minimal Labeled Data
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
Hua-Jun Zeng, Xuanhui Wang, Zheng Chen, Hongjun Lu...