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» Extracting Patterns and Relations from the World Wide Web
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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
CHI
1996
ACM
13 years 11 months ago
The WebBook and the Web Forager: An Information Workspace for the World-Wide Web
The World-Wide Web has achieved global connectivity stimulating the transition of computers from knowledge processors to knowledge sources. But the Web and its client software are...
Stuart K. Card, George G. Robertson, William York
IADIS
2003
13 years 9 months ago
Data Extraction from Web Database Query Result Pages via Tagsets and Integer Sequences
The World Wide Web is a collection of databases as well as web sites. Databases associated with web sites provide public access via query forms on web pages. They constitute an en...
Jerome Robinson
ACL
2009
13 years 5 months ago
Unsupervised Relation Extraction by Mining Wikipedia Texts Using Information from the Web
This paper presents an unsupervised relation extraction method for discovering and enhancing relations in which a specified concept in Wikipedia participates. Using respective cha...
Yulan Yan, Naoaki Okazaki, Yutaka Matsuo, Zhenglu ...
KDD
2002
ACM
170views Data Mining» more  KDD 2002»
14 years 8 months ago
Web site mining: a new way to spot competitors, customers and suppliers in the world wide web
When automatically extracting information from the world wide web, most established methods focus on spotting single HTMLdocuments. However, the problem of spotting complete web s...
Martin Ester, Hans-Peter Kriegel, Matthias Schuber...