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» Automatic Discovery of Semantic Structures in HTML Documents
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ACL
2006
13 years 7 months ago
Automatic Construction of Polarity-Tagged Corpus from HTML Documents
This paper proposes a novel method of building polarity-tagged corpus from HTML documents. The characteristics of this method is that it is fully automatic and can be applied to a...
Nobuhiro Kaji, Masaru Kitsuregawa
CSREAEEE
2006
154views Business» more  CSREAEEE 2006»
13 years 7 months ago
Structural Discovery of E-lessons
An e-lesson is comprised of a "body" and a "view". The body is the actual content of the e-lesson and the assumption is that it is an html document. The view i...
Azita Bahrami
RULEML
2004
Springer
13 years 11 months ago
Rule Learning for Feature Values Extraction from HTML Product Information Sheets
The Web is now a huge information repository with a rich semantic structure that, however, is primarily addressed to human understanding rather than automated processing by a compu...
Costin Badica, Amelia Badica
IJCNLP
2005
Springer
13 years 11 months ago
Automatic Discovery of Attribute Words from Web Documents
We propose a method of acquiring attribute words for a wide range of objects from Japanese Web documents. The method is a simple unsupervised method that utilizes the statistics of...
Kosuke Tokunaga, Jun'ichi Kazama, Kentaro Torisawa
ACMICEC
2006
ACM
141views ECommerce» more  ACMICEC 2006»
13 years 11 months ago
From HTML documents to web tables and rules
We present a browser-extending Semantic Web extraction system that maps HTML documents to tables and, where possible, to rules. First, the basic data extractor ViPER distills and ...
Kai Simon, Georg Lausen, Harold Boley