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Revision 6 as of 2016-11-09 22:06:58
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Training resources:
 * [[attachment:phd-preprocessed-psc.zip|Preprocessed PSC corpus]]
 * [[attachment:summaries-sentence-ids.zip|Automatic summary sentences in preprocessed PSC corpus (for training zero subject model)]]

Nicolas

This page offers the official Creative Commons Attribution 3.0 Unported License release of Nicolas - a java coreference-based summarization tool, which creation was cofunded by the European Union from resources of the European Social Fund -- Project PO KL „Information technologies: Research and their interdisciplinary applications”. By downloading the package you accept the conditions of that licence.

Contact person: Mateusz Kopeć
Authors: Mateusz Kopeć
License: CC BY v.3

http://i.creativecommons.org/l/by/3.0/88x31.png

Downloads

You may check out the source code from git repository.

Training resources:

Online demo

Multiservice offers an online demo of Nicolas. You need to select a chain of preprocessing actions before adding Nicolas as the last component. For example, try predefined chain of: Concraft, Spejd, Nerf, MentionDetector, Bartek, NicolasSummarizer. After processing is finished, select the "Summary" tab.

You may also want to see Polish Summaries Corpus and Polish Coreference Tools.