Ubiquitous Knowledge Processing Lab: Difference between revisions

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{{Infobox institute

{{orphan|date=April 2010}}

| name = Ubiquitous Knowledge Processing Lab

| other_name = UKP Lab

| parent = [[Technische Universität Darmstadt]]

| established = 2006

| founder = [[Iryna Gurevych]]

| website = http://www.ukp.tu-darmstadt.de/

}}

The '''Ubiquitous Knowledge Processing Lab''' (also '''UKP Lab''') is a research lab inat the [[Department of Computer Science of TU Darmstadt|Department of Computer Science]] at the [[TU Darmstadt| Technische Universität Darmstadt]]. It was founded in 2006 by Prof. Dr. [[Iryna Gurevych]].

==Research Activities==

UKP Lab develops [[Natural language processing| natural language processing]] techniques for automatically understanding written text and applies them to information management like [[Information retrieval|information retrieval]], [[Question answering|question answering]], and structuring information in [[Wiki|Wikis]]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|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|semantic search]]: If a user enters the query “pie "pie-fruit”fruit" into a search engine, a standard search engine will retrieve pages containing the words “pie”"pie" but not the word “fruit”"fruit", providing plenty of pages on “apple"apple pie”pie". An intelligent search engine will “understand”"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>.

Further research activities at UKP lab are automatic quality assessment of text, [[Sentiment analysis|sentiment analysis]] and opinion mining.

Research activities are organized into the following research areas:

* Educational natural language processing

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* 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|customer relationship management]], [[Digital humanities|digital humanities]], [[E-learning|educational applications]], or public security.

==Software==

Part of the research efforts at UKP Lab is the development of [[Natural language processing|natural language processing (NLP)]] software. The following [[Software package (programming)|software packages]] are freely available for research purposes:

=== DKPro ===

The Darmstadt Knowledge Processing Software Repository (DKPro) is an open source community of software projects aimed at Natural Language Processing. It offers robust, ready to use NLP components which are built on top of IBM’s [[Uima|Unstructured Information Management Architecture (UIMA)]] as a common and open [[Software framework|framework]].

DKPro contains basic natural language processing components like [[Part-of-speech tagging|part-of-speech tagging]] and [[Lemmatization|lemmatization]].

Additionally, the package offers components that support the processing of user generated discourse. [[User -generated content]] contains spelling errors, abbreviations and emoticons which prohibit direct application of standard NLP components. DKPro provides the required preprocessing tools.

=== Wikipedia API ===

The Java Wikipedia Library (JWPL)<ref name="paper">Reference publication: [http://elarawww.tk.informatik.tulrec-darmstadtconf.deorg/Publicationsproceedings/2008lrec2008/lrec08_camera_readypdf/420_paper.pdf] Zesch, Müller, Gurevych: Extracting Lexical Semantic Knowledge from Wikipedia and Wiktionary, Proceedings of LREC 2008].</ref> was also developed at UKP Lab. It is a [[Java (programming language)|Java]]-based [[Application programming interface|application programming interface]] for Wikipedia and allows programmatic access to all information contained in [[Wikipedia]].

=== Wiktionary API ===

Parallel to JWPL, the Java Wiktionary Library (JWKTL)<ref name="paper"/> offers programmatic access to information contained in the English and the German versions of [[Wiktionary]].

==References==

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==External links==

* [http://www.ukp.tu-darmstadt.de/ Website Ubiquitous Knowledge Processing Lab]

* [httphttps://www.ukpinformatik.tu-darmstadt.de/peopleukp/prof-dr-iryna-gurevychukp_home/staff_ukp/prof_dr_iryna_gurevych/index.en.jsp Website Prof. Dr. Iryna Gurevych]

* [httphttps://wwwdkpro.ukpgithub.tu-darmstadt.de/projects/dkproio/ DKPro]

* [httphttps://wwwdkpro.ukpgithub.tuio/dkpro-darmstadt.dejwpl/software/jwpl Wikipedia API]

* [httphttps://wwwdkpro.ukpgithub.tuio/dkpro-darmstadt.de/software/jwktl/ Wiktionary API]

{{Technische Universität Darmstadt}}

[[Category:Computer science institutes]]

[[Category:Research Institutes in Germany]]

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[[Category:Darmstadt University of Technology]]

{{authority control}}

[[Category:Computer science institutes in Germany]]

[[Category:Technische Universität Darmstadt]]