Designing the ELEXIS Parallel Sense-Annotated Dataset in 10 European Languages

Autor: Martelli, F., Navigli, R., Krek, S., Kallas, J., Gantar, P., Koeva, S., Nimb, S., Pedersen, B. S., Olsen, S., Langemets, M., Koppel, K., Üksik, T., Dobrovoljc, K., Ureña-Ruiz, R. J., Sancho-Sánchez, J. -L, Lipp, V., Váradi, T., Győrffy, A., László, S., Quochi, V., Monachini, M., Frontini, F., Tiberius, C., Tempelaars, R., Rute Costa, Salgado, A., Čibej, J., Munda, T.

Publikováno v: CIÊNCIAVITAE
Scopus-Elsevier
Martelli, F, Navigli, R, Krek, S, Tiberius, C, Kallas, J, Gantar, P, Koeva, S, Nimb, S, Pedersen, B S, Olsen, S, Langements, M, Koppel, K, Üksik, T, Dobrovolijc, K, Ureña-Ruiz, R-J, Sancho-Sánchez, J-L, Lipp, V, Varadi, T, Györffy, A, László, S, Quochi, V, Monachini, M, Frontini, F, Tempelaars, R, Costa, R, Salgado, A, Čibej, J & Munda, T 2021, Designing the ELEXIS Parallel Sense-Annotated Dataset in 10 European Languages . in eLex 2021 Proceedings : Proceedings of the eLex 2021 conference . Lexical Computing CZ, Brno, eLex Conference. Proceedings, eLex 2021, 05/07/2021 .

Over the course of the last few years, lexicography has witnessed the burgeoning of increasingly reliable automatic approaches supporting the creation of lexicographic resources such as dictionaries, lexical knowledge bases and annotated datasets. In

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