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» A Machine Learning Approach to Information Extraction
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ACL
2006
13 years 9 months ago
URES : an Unsupervised Web Relation Extraction System
Most information extraction systems either use hand written extraction patterns or use a machine learning algorithm that is trained on a manually annotated corpus. Both of these a...
Binyamin Rosenfeld, Ronen Feldman
ICALT
2006
IEEE
14 years 1 months ago
A Semi-Automatic Tool using Ontology to Extract Learning Objects
The approach presented in this paper is intended for the semi-automatic construction of a learning object repository from HTML pages. An extraction method consists of applying the...
Bich-Liên Doan, Yolaine Bourda, Vasile Dumit...
AAAI
2007
13 years 10 months ago
Template-Independent News Extraction Based on Visual Consistency
Wrapper is a traditional method to extract useful information from Web pages. Most previous works rely on the similarity between HTML tag trees and induced template-dependent wrap...
Shuyi Zheng, Ruihua Song, Ji-Rong Wen
COLING
2000
13 years 9 months ago
Learning Semantic-Level Information Extraction Rules by Type-Oriented ILP
This paper describes an approach to using semantic rcprcsentations for learning information extraction (IE) rules by a type-oriented inductire logic programming (ILl)) system. NLP...
Yutaka Sasaki, Yoshihiro Matsuo
CIKM
2005
Springer
14 years 1 months ago
Information retrieval and machine learning for probabilistic schema matching
Schema matching is the problem of finding correspondences (mapping rules, e.g. logical formulae) between heterogeneous schemas e.g. in the data exchange domain, or for distribute...
Henrik Nottelmann, Umberto Straccia