Obtain Wordnet Domains 3.2

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WordNet Domains is licensed under a Creative Commons Attribution 3.0 Unported License.

Please fill the form below with your data (they will be maintained in a database at FBK) and accept the agreement terms (you will receive the link for the download in a few days).
For more information, please contact Manuela Speranza (mansperafbk.eu) at FBK.

It is important for us to have feedback on research involving WordNet Domains: we kindly ask you to provide us with information and comments about how WordNet Domains is used.


The distribution of WordNet Domains 3.2 includes WordNet Affect. WordNet Affect is an additional hierarchy of "affective domain labels", with which the synsets representing affective concepts are further annotated.

Publications or presentations containing research results obtained through the use of WordNet Affect should cite the following reference:

Carlo Strapparava and Alessandro Valitutti.
"WordNet-Affect: an affective extension ofWordNet".
In Proceedings of the 4th International Conference on Language Resources and Evaluation (LREC 2004), Lisbon, May 2004, pp. 1083-1086.


Publications or presentations containing research results obtained through the use of WordNet Domains should cite at least one of the following references:

Bernardo Magnini and Gabriela Cavaglià.
"Integrating Subject Field Codes into WordNet".
In Gavrilidou M., Crayannis G., Markantonatu S., Piperidis S. and Stainhaouer G. (Eds.) Proceedings of LREC-2000, Second International Conference on Language Resources and Evaluation, Athens, Greece, 31 May - 2 June, 2000, pp. 1413-1418.

Luisa Bentivogli, Pamela Forner, Bernardo Magnini and Emanuele Pianta.
"Revising WordNet Domains Hierarchy: Semantics, Coverage, and Balancing".
In Proceedings of COLING 2004 Workshop on "Multilingual Linguistic Resources", Geneva, Switzerland, August 28, 2004, pp. 101-108.


The distribution of WordNet Domains also includes the mapping between WordNet domains and WordNet topics, and the emergent Wikipedia categories. This mapping leads to a coarse alignment between WordNet and Wikipedia, useful for producing domain-specific and multilingual corpora. Multilinguality is achieved through the cross-language links between Wikipedia categories.

Publications or presentations containing research results obtained through the use of the mapping between WordNet Domains and Wikipedia categories should cite the following reference:

Spandana Gella, Carlo Strapparava and Vivi Nastase.
"Mapping WordNet Domains, WordNet Topics and Wikipedia Categories to Generate Multilingual Domain Specific Resources".
In Proceedings ofthe 9th International Conference on Language Resources and Evaluation (LREC 2014), Reykjavik, Iceland, May 2014, pp. 1117-1121.