PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Marko Grobelnik and Dunja Mladenić
In: SIKDD 2004 at multiconference IS 2004, 12-15 Oct 2004, Ljubljana, Slovenia.


This paper presents a system for visualization of large amounts of new stories. In the first phase, the new stories are preprocessed for the purpose of name -entity extraction. Next, a graph of relationships between the extracted name entities is created, where each name entity represents one vertex in the graph and two name entities are connected if they appear in the same document. The graph of entities is presented as a local neighborhood enriched with additional contextual information in the form of characteristic keywords and related name entities connected to the entity in the focus. Operations for browsing a graph are implemented to be efficient enabling quick capturing of large amounts of information present in the original text.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
Information Retrieval & Textual Information Access
ID Code:742
Deposited By:Blaz Fortuna
Deposited On:30 December 2004