Wikulu - Self-Organizing Wikis

Project Goals

The importance of web-based collaboration systems called Wikis has grown tremendously over the last years, e.g. Wikipedia, corporate wikis. As the usability of a wiki is initially very high, the amount of content grows very fast. A common drawback of wikis is however that the usability decreases with the increased content amount. The Wikulu - Self-Organizing Wikis project at the UKP Lab employs the latest Natural Language Processing (NLP) technologies to manage unstructured information, i.e. to structure the content in corporate Wikis. The objective of the project is thus to implement intelligent approaches to assist the user while creating, editing, or searching content. Wikulu should relieve the user of manual information management, leaving more room for productive work. Why is it called Wikulu? Kukulu is Hawaiian for to organize!

Project Publications

Additional Attributes


UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis

Torsten Zesch, Omer Levy, Iryna Gurevych, Ido Dagan
In: Proceedings of the 7th International Workshop on Semantic Evaluation (SemEval 2013), in conjunction with the 2nd Joint Conference on Lexical and Computational Semantics (*SEM 2013), Vol. 2, p. 285-289, June 2013
Association for Computational Linguistics

Text Reuse Detection Using a Composition of Text Similarity Measures

Daniel Bär, Torsten Zesch, Iryna Gurevych
In: Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012), p. 167-184, December 2012

Evaluation of a Layered Approach to Question Answering over Linked Data

Sebastian Walter, Christina Unger, Philipp Cimiano, Daniel Bär
In: Proceedings of the 11th International Semantic Web Conference, p. 362-374, November 2012

UKP-UBC Entity Linking at TAC-KBP

Nicolai Erbs, Eneko Agirre, Aitor Soroa, Ander Barrena, Ugaitz Etxebarria, Iryna Gurevych, Torsten Zesch
In: Proceedings of the 5th Text Analysis Conference, November 2012
National Institute of Standards and Technology

UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures

Daniel Bär, Chris Biemann, Iryna Gurevych, Torsten Zesch
In: Proceedings of the 6th International Workshop on Semantic Evaluation, held in conjunction with the 1st Joint Conference on Lexical and Computational Semantics, p. 435--440, June 2012

A Reflective View on Text Similarity

Daniel Bär, Torsten Zesch, Iryna Gurevych
In: Proceedings of the International Conference on Recent Advances in Natural Language Processing, p. 515-520, September 2011

Aufbereitung und Strukturierung von Information mittels automatischer Sprachverarbeitung

Wolfgang Stille, Nicolai Erbs, Torsten Zesch, Iryna Gurevych, Karsten Weihe
In: Proceedings of KnowTech, Vol. 13, p. 199-208, September 2011

Wikulu: An Extensible Architecture for Integrating Natural Language Processing Techniques With Wikis

Daniel Bär, Nicolai Erbs, Torsten Zesch, Iryna Gurevych
In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies. System Demonstrations, p. 74-79, June 2011

First Aid for Information Chaos in Wikis: Collaborative Information Management Enhanced Through Language Technology

Nicolai Erbs, Daniel Bär, Iryna Gurevych, Torsten Zesch
In: Information und Wissen: global, sozial und frei? : Proceedings des 12. Internationalen Symposiums für Informationswissenschaften, Vol. 58, p. 501--502, 2011

Link Discovery: A Comprehensive Analysis

Nicolai Erbs, Torsten Zesch, Iryna Gurevych
In: Proceedings of the 5th IEEE International Conference on Semantic Computing (IEEE-ICSC), p. 83-86, 2011


We are always looking for students who are interested in Wikulu and want to help us with our programming and research tasks. Please contact us if you want to know more!

Related Projects

The Wikulu project builds upon cutting-edge fundamental NLP technologies developed at UKP Lab to solve real-life knowledge management problems. It builds upon several successful projects ongoing at the UKP Lab, such as:

  • WiWeb funded by the Förderinitiative Interdisziplinäre Forschung: Utilizing Web Knowledge: Language Technologies and Psychological Processes
  • SIR 1+2 funded by the German Research Foundation (DFG): Extracting structured lexical semantic knowledge from wiki-based web 2.0 sources such as Wikipedia and Wiktionary and integrating contextually-aware semantic relatedness into information retrieval and keyphrase extraction
  • DKPro funded by UIMA 2007 Innovation Award and by two UIA 2008 Innovation Awards from IBM: Integrating NLP components in a repository of semantic information management software based on an industrial strength IBM’s Unstructured Information Management Architecture (UIMA) framework


The Wikulu - Self-Organizing Wikis project is funded by the Klaus Tschira Foundation.


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