Challenges of word sense alignment: Portuguese language resources

Salgado, Ana, Ahmadi, Sina, Simões, Alberto, McCrae, John P., & Costa, Rute. (2020). Challenges of word sense alignment: Portuguese language resources. Paper presented at the 7th Workshop on Linked Data in Linguistics: Building tools and infrastructure at the12th International Conference on Language Resources and Evaluation (LREC), Marseille, France (11-16 May).

Abstract

This paper reports on an ongoing task of monolingual word sense alignment in which a comparative study between the Portuguese Academy of Sciences Dictionary and the Dicionario Aberto ´ is carried out in the context of the ELEXIS (European Lexicographic Infrastructure) project. Word sense alignment involves searching for matching senses within dictionary entries of different lexical resources and linking them, which poses significant challenges. The lexicographic criteria are not always entirely consistent within individual dictionaries and even less so across different projects where different options may have been assumed in terms of structure and especially wording techniques of lexicographic glosses. This hinders the task of matching senses. We aim to present our annotation workflow in Portuguese using the Semantic Web standards. The results obtained are useful for the discussion within the community.

Funder

Horizon 2020
Fundação para a Ciência e a Tecnologia

Publisher

National University of Ireland Galway

Rights

Attribution-NonCommercial-NoDerivs 3.0 Ireland

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Collections

Data Science Institute (Workshop Papers)