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UKP Lab develops [[natural language processing]] techniques for automatically understanding written text and applies them to information management like [[information retrieval]], [[question answering]], and structuring information in [[Wiki]]s.<ref>[http://www.hessen-it.de/mm/Hessen-IT_NEWS_0308.pdf Hessen-IT News 03/2008].</ref>
The Ubiquitous Knowledge Processing Lab is among the leading research institutes in the field of utilizing [[Web 2.0]] content as the source of [[Lexical semantics|lexical semantic]] information for natural language processing (NLP). [[Wikipedia]] and [[Wiktionary]] are employed as collaboratively constructed lexical semantic resources and used to improve expert-built resources like [[WordNet]].
These resources are used to develop semantically enhanced algorithms for information retrieval and question answering. An example is [[semantic search]]: If a user enters the query "pie-fruit" into a search engine, a standard search engine will retrieve pages containing the words "pie" but not the word "fruit", providing plenty of pages on "apple pie". An intelligent search engine will "understand" that the user is interested in pie recipes that do not use any type of fruit and retrieve appropriate documents.<ref>Example from: [http://www.volkswagenstiftung.de/uploads/media/Impulse_fuer_die_Wissenschaft_2010_gesamt.pdf Impulse für die Wissenschaft 2010 (Volkswagenstiftung)].</ref>
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