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
Wikis. 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 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. Further research activities at UKP lab are automatic quality assessment of text,
sentiment analysis and opinion mining. Research activities are organized into the following research areas: • Educational natural language processing • Multilingual semantic information management • Natural language processing for Wikis A strong focus at UKP Lab is on utilizing novel natural language processing algorithms in real-life applications. UKP Lab collaborates with partners from academia and industry to improve various application scenarios, such as
customer relationship management,
digital humanities,
educational applications, or public security. ==Software==