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Describe Nicolas here. #acl +All:read Default
= Nicolas =
This page offers the official [[http://creativecommons.org/licenses/by/3.0/deed.en_US|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 -- [[http://phd.ipipan.waw.pl/|Project PO KL „Information technologies: Research and their interdisciplinary applications”]]. By downloading the package you accept the conditions of that licence.

'''Contact person:'''
[[MateuszKopec|Mateusz Kopeć]]<<BR>>
'''Authors:'''
[[MateuszKopec|Mateusz Kopeć]]<<BR>>
'''License:''' CC BY v.3

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

== Downloads ==

You may check out the source code from [[http://git.nlp.ipipan.waw.pl/summarization/nicolas|git repository]].

== Online demo ==

[[http://multiservice.nlp.ipipan.waw.pl/|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: WCRFT, Spejd, Nerf, !MentionDetector, Bartek, !NicolasSummarizer.

You may also want to see [[PolishSummariesCorpus|Polish Summaries Corpus]] and [[PolishCoreferenceTools|Polish Coreference Tools]].

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.

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: WCRFT, Spejd, Nerf, MentionDetector, Bartek, NicolasSummarizer.

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