2007 | OriginalPaper | Chapter
Extraction of Anchor-Related Text and Its Evaluation by User Studies
Authors : Bui Quang Hung, Masanori Otsubo, Yoshinori Hijikata, Shogo Nishida
Published in: Human Interface and the Management of Information. Methods, Techniques and Tools in Information Design
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Semantic Text Portion (STP) is a text portion in the original page which is semantically related to the anchor pointing to the target page. STPs may include the facts and the people’s opinions about the target pages. STPs can be used for various upper-level applications such as automatic summarization and document categorization. In this paper, we concentrate on extracting STPs. We conduct a survey of STP to see the positions of STPs in original pages and find out HTML tags which can divide STPs from the other text portions in original pages. We then develop a method for extracting STPs based on the result of the survey. The experimental results show that our method achieves high performance.