Mapping between WordNet Domains and Wikipedia categories

The distribution of WordNet Domains also includes the mapping between WordNet-Domains and WordNet topics, and the emergent Wikipedia categories.

WordNet-Domains and WordNet topics. Starting from version 3.0, Princeton WordNet has associated topic information with a subset of its synsets. This topic labeling is achieved through pointers from a source synset to a target synset representing the topic, and it was developed independently from WordNet-Domains.

WordNet-Domains - Multilingual 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. Research in word-sense disambiguation has shown that within a specific domain, relevant words have restricted senses. The multilingual, and comparable, domain-specific corpora we produce have the potential to enhance research in word-sense disambiguation and terminology extraction in different languages, which could enhance the performance of various NLP tasks.

Through this mapping, we could associate to each WordNet domain a domain-specific corpus, gathered from the articles subsumed by the corresponding Wikipedia categories, for each of the desired languages. Upon request, a corpus of domain-labelled Wikipedia articles is available.