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UBY – A Large-Scale Unified Lexical-Semantic Resource (UBY 1.0) released

- March 31, 2012 in Uncategorized

We are pleased to announce the release of UBY 1.0 –

a large-scale lexical-semantic resource for natural language processing (NLP)
based on the ISO standard Lexical Markup Framework (LMF), see
UBY website.
Lexical Resources in UBY 1.0
UBY combines a wide range of information from expert-constructed and collaboratively constructed resources for English and German.
Currently, UBY holds structurally and semantically interoperable versions of nine resources in two languages:

A subset of these resources is linked at the word sense level.
There are monolingual sense alignments between VerbNet–FrameNet and VerbNet–WordNet as well as between WordNet–Wikipedia and WordNet–Wiktionary.

In addition, UBY provides cross-lingual sense alignments between WordNet and German OmegaWiki,

also including the inter-language links given in Wikipedia and OmegaWiki.

All resources in UBY are represented according to our LMF lexicon model, UBY-LMF.
UBY-LMF captures lexical information at a
ne-grained level by employing a large number of Data Categories from  ISOCat.


Highlights of UBY:
  • The union of a wide range of heterogeneous resources in a single, standardized resource.
  • The linking at the word sense level between a subset of the resources.

UBY is complemented by a Java API, the UBY-API, and conversion tools (e.g., for converting the resources to UBY-LMF).

The UBY API and conversion tools are available at Google Code:

Highlights of the UBY-API:
  • Unified access to the various information types in the nine resources.
  • Easy cross-resource access to the various information types in the resources.

A tutorial showing the use of the UBY-API can be found at

A Web Interface for exploring and visualizing UBY is currently being developed and will soon be available
the UBY website.


This project was initiated under the auspices of Prof. Dr. Iryna Gurevych, Ubiquitous Knowledge Processing Lab (UKP), Technische Universität Darmstadt.
We are grateful for the generous financial support from the Volkswagen Foundation and the German Research Foundation.

Please direct any questions or suggestions to