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» Unsupervised Relation Extraction From Web Documents
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NLPRS
2001
Springer
14 years 20 days ago
Hierarchical Concept Description and Learning for Information Extraction
This paper addresses the problem of extracting information from textual documents, either normal documents or web pages. A new approach for extracting complicate information from ...
Luo Xiao, Dieter Wissmann, Michael Brown, Stefan J...
SAINT
2005
IEEE
14 years 1 months ago
Learning Logic Wrappers for Information Extraction from the Web
This paper discusses a methodology for applying general-purpose first-order inductive learning to extract information from Web documents structured as unranked ordered trees. The...
Costin Badica, Elvira Popescu, Amelia Badica
ISI
2004
Springer
14 years 1 months ago
Generating Concept Hierarchies from Text for Intelligence Analysis
It is important to automatically extract key information from sensitive text documents for intelligence analysis. Text documents are usually unstructured and information extraction...
Jenq-Haur Wang, Chien-Chung Huang, Jei-Wen Teng, L...
RIVF
2007
13 years 9 months ago
Disambiguation of People in Web Search Using a Knowledge Base
— Results of queries by personal names often contain documents related to several people because of the namesake problem. In order to differentiate documents related to different...
Quang Minh Vu, Tomonari Masada, Atsuhiro Takasu, J...
SYNASC
2006
IEEE
211views Algorithms» more  SYNASC 2006»
14 years 2 months ago
HTML Pattern Generator--Automatic Data Extraction from Web Pages
Existing methods of information extraction from HTML documents include manual approach, supervised learning and automatic techniques. The manual method has high precision and reca...
Mirel Cosulschi, Adrian Giurca, Bogdan Udrescu, Ni...