PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Enhanced Web Page Content Visualization with Firefox
Lorand Dali, Delia Rusu and Dunja Mladenić
In: ECML PKDD, 7-11 Sept 2009, Bled, Slovenia.


This paper aims at presenting how natural language processing and machine learning techniques can help the internet surfer to get a better overview of the pages he is reading. The proposed demo is a Firefox extension which can show a semantic graph of the text in the page that is currently loaded in the browser. The user can also get a summary of the web page she is looking at by choosing to display only the more important nodes in the semantic graph representation of the document, where importance of the nodes is obtained by machine learning techniques.

EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
ID Code:6393
Deposited By:Jan Rupnik
Deposited On:08 March 2010