SweSum NE - Automatic Text Summarizer with NE Recognition by Martin Hassel and Hercules Dalianis
Localization, Interfaces and Swedish Pronominal Resolution by Martin Hassel

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Please type or paste a text of your own to summarize: Alternatively, you can upload a text/HTML file from your own computer:

Keywords that may be important for the text.	Choose type of text	Choose language of the text
	Newspaper Academic	Danish English French German Norwegian Spanish Swedish Generic

Summary of the original text: percent words characters
Print keywords and statistics Number of keywords:
Use pronoun resolution (only for Swedish)

Set weights for discourse parametres:

First line	Bold	Numeric values	Keywords	User keywords	Named entities

Choose which named entities should be tagged and weighted (tuned for Swedish): Personal names Places Companies/organisations Dates, weekdays, etc.

Mark with colors Mark with bold Bold+Categories No NE tagging List named entities

Read more about Text Summarization

Comments to Hercules?
Comments to Martin?

SweSum © 1999-2003 Euroling AB

Note.
Text Summarization for English, Danish, Norwegian and Swedish is considered to be state-of-the-art and Text Summarization for French, German and Spanish is in a prototype state.
Generic Summarization does not take into accountance which language the text is written in.
Pronominal Resolution is only (somewhat) implemented for Swedish and is in a prototype state.
For Named Entity recognition we use SweNam by Erik Åström, Hercules Dalianis & Martin Hassel.
If the result is an empty document, please try switching off Named Entity tagging

Note II.
We would like to thank Dorte Haltrup (CST), Paul Meurer (UiB), Pascal Vaillant (ENST) and Horacio Rodríguez (UPC) for their help with Danish, Norwegian, French respectively Spanish lexicons and feedback.