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» SVM Based Learning System for Information Extraction
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IIR
2010
13 years 10 months ago
Sentence-Based Active Learning Strategies for Information Extraction
Given a classifier trained on relatively few training examples, active learning (AL) consists in ranking a set of unlabeled examples in terms of how informative they would be, if ...
Andrea Esuli, Diego Marcheggiani, Fabrizio Sebasti...
ICPR
2008
IEEE
14 years 2 months ago
Online anomal movement detection based on unsupervised incremental learning
We propose an online anomal movement detection method using incremental unsupervised learning. As the feature for discrimination, we extract the principal component of the spatio-...
Kyoko Sudo, Tatsuya Osawa, Hidenori Tanaka, Hideki...
WWW
2005
ACM
14 years 9 months ago
Hybrid semantic tagging for information extraction
The semantic web is expected to have an impact at least as big as that of the existing HTML based web, if not greater. However, the challenge lays in creating this semantic web an...
Ronen Feldman, Binyamin Rosenfeld, Moshe Fresko, B...
SIGIR
2010
ACM
13 years 6 months ago
EUSUM: extracting easy-to-understand english summaries for non-native readers
In this paper we investigate a novel and important problem in multi-document summarization, i.e., how to extract an easy-tounderstand English summary for non-native readers. Exist...
Xiaojun Wan, Huiying Li, Jianguo Xiao
SIGIR
2006
ACM
14 years 2 months ago
Adapting ranking SVM to document retrieval
The paper is concerned with applying learning to rank to document retrieval. Ranking SVM is a typical method of learning to rank. We point out that there are two factors one must ...
Yunbo Cao, Jun Xu, Tie-Yan Liu, Hang Li, Yalou Hua...