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

Type

Approaches to Automatic Text Structuring

Nicolai Erbs
September 2015
[Online-Edition: http://tuprints.ulb.tu-darmstadt.de/4959/]
[Phdthesis]

Counting What Counts: Decompounding for Keyphrase Extraction

Nicolai Erbs, Pedro Bispo Santos, Torsten Zesch, Iryna Gurevych
In: Proceedings of the ACL 2015 Workshop on Novel Computational Approaches to Keyphrase Extraction, p. 10-17, July 2015
[Online-Edition: Technische Universität Darmstadt, 2015]
[Inproceedings]

Composing Measures for Computing Text Similarity

Daniel Bär, Torsten Zesch, Iryna Gurevych
January 2015
[Online-Edition: http://tuprints.ulb.tu-darmstadt.de/4342/]
[Techreport]

Identifying Argumentative Discourse Structures in Persuasive Essays

Christian Stab, Iryna Gurevych
In: Conference on Empirical Methods in Natural Language Processing (EMNLP 2014), p. 46-56, October 2014
Association for Computational Linguistics
[Online-Edition: www.ukp.tu-darmstadt.de/data/argumentation-mining/argument-annotated-essays/]
[Inproceedings]

Sense and Similarity: A Study of Sense-level Similarity Measures

Nicolai Erbs, Iryna Gurevych, Torsten Zesch
In: Proceedings of the 3rd Joint Conference on Lexical and Computational Semantics (*SEM 2014), p. 30--39, August 2014
Association for Computational Linguistics and Dublin City University
[Inproceedings]

DKPro Keyphrases: Flexible and Reusable Keyphrase Extraction Experiments

Nicolai Erbs, Pedro Bispo Santos, Iryna Gurevych, Torsten Zesch
In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics. System Demonstrations, p. 31-36, June 2014
Association for Computational Linguistics
[Online-Edition: https://github.com/dkpro/dkpro-keyphrases]
[Inproceedings]

Hierarchy Identification for Automatically Generating Table-of-Contents

Nicolai Erbs, Iryna Gurevych, Torsten Zesch
In: Proceedings of 9th Conference on Recent Advances in Natural Language Processing (RANLP 2013), p. 252-260, September 2013
INCOMA Ltd.
[Inproceedings]

Bringing Order to Digital Libraries: From Keyphrase Extraction to Index Term Assignment

Nicolai Erbs, Iryna Gurevych, Marc Rittberger
In: D-Lib Magazine, Vol. 19, p. 1-16, September 2013
[Online-Edition: http://www.dlib.org/dlib/september13/erbs/09erbs.print.html]
[Article]

DKPro Similarity: An Open Source Framework for Text Similarity

Daniel Bär, Torsten Zesch, Iryna Gurevych
In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (System Demonstrations) (ACL 2013), p. 121-126, August 2013
Association for Computational Linguistics
[Inproceedings]

People

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

Funding

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

 

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