Connecting Wikis and Natural Language Processing Systems

Palais de Congres, Montreal, Canada

Abstract

We investigate the integration of Wiki systems with automated natural language processing (NLP) techniques. The vision is that of a "self-aware" Wiki system reading, understanding, transforming, and writing its own content, as well as supporting its users in information analysis and content development. We provide a number of practical application examples, including index generation, question answering, and automatic summarization, which demonstrate the practicability and usefulness of this idea. A system architecture providing the integration is presented, as well as first results from an initial implementation based on the GATE framework for NLP and the MediaWiki system.

General Terms: Design, Human Factors, Languages
Keywords: Self-aware Wiki System, Wiki/NLP Integration

Reference

René Witte and Thomas Gitzinger. Connecting Wikis and Natural Language Processing Systems. Proceedings of the 2007 International Symposium on Wikis (WikiSym 2007), pp.165-176, October 21-23, 2007, Montréal, Quebec, Canada. Co-located with ACM OOPSLA 2007. ACM, New York, NY, USA.

Bibtex entry (also for download):

@inproceedings{WitGiz07,
   author    = {Ren\'{e} Witte and Thomas Gitzinger},
   title     = {{Connecting Wikis and 
                Natural Language Processing Systems}},
   booktitle = {WikiSym '07: Proceedings of the 
                2007 International Symposium on Wikis},
   year      = {2007},
   isbn      = {978-1-59593-861-9},
   pages     = {165--176},
   location  = {Montr\'{e}al, Qu\'{e}bec, Canada},
   doi       = {http://doi.acm.org/10.1145/1296951.1296969},
   publisher = {ACM},
   address   = {New York, NY, USA},
   url       = {http://rene-witte.net/connecting-wikis-and-nlp}
}

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Copyright © 2007 ACM. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 2007 International Symposium on Wikis, DOI: http://doi.acm.org/10.1145/1296951.1296969.