Towards the automatic enrichment of a thesaurus with information in dictionaries

Abstract

Regarding that information in broad‐coverage knowledge bases, such as thesauri, is usually incomplete, merging information from different sources is an alternative to amplify coverage. We propose a method for the enrichment of a thesaurus with information acquired automatically from dictionaries. First, synonymy pairs are extracted. Then, these pairs are assigned to the most similar candidate synsets. Finally, the remaining pairs are the target of clustering to identify new synsets. After selecting the adequate experimentation settings, this method was applied to enrich a Portuguese thesaurus with synonyms extracted from three dictionaries, which resulted in TRIP, a larger and broader thesaurus with new words and concepts. The steps towards the creation of this new thesaurus and its evaluation are described here.

TermitUp: Generation and enrichment of linked terminologies

“…In [30], WordNet is used to establish hierarchical relations between the source terms. Oliveira and Gomes [47] propose a method to automatically enrich a Portuguese thesaurus with synonyms extracted from dictionaries. Some efforts have also been devoted to further specialise the related to relation that is common in thesauri with specific semantic relations, as in [61].…”

“…The functionality is also available through a HTTP REST API, thus satisfying Requirement 6. These web services are described using OpenAPI , 47 and they are running in web servers supported by the Prêt-à-LLOD project. A stable release of the software has also been published in the Zenodo platform, 48 favoring the preservation and reproducibility of the research work.…”

Knowledge Discovery and Business Intelligence

“…The work of Oliveira and Gomes () discusses a novel method for the enrichment of thesauri by including information acquired automatically from dictionaries. Although the method (which includes a clustering approach) was applied to enrich a Portuguese thesaurus with information from three dictionaries, it can be adapted to other languages.…”