Training and test data of EvaLatin 2020 (https://circse.github.io/LT4HALA/2020/EvaLatin), the first campaign devoted to the evaluation of Natural Language Processing Tools for Latin. It also includes the evaluation script. EvaLatin first edition have 2 tasks (i.e. Lemmatization and PoS tagging) each with 3 sub-tasks (i.e. Classical, Cross-Genre, Cross-Time). The EvaLatin 2020 dataset is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) 4.0 International.
Dataset of EvaLatin 2020 / Sprugnoli, Rachele; Passarotti, Marco; Massimiliano Cecchini, Flavio; Pellegrini, Matteo. - Dataset of EvaLatin 2020:(2020).
Dataset of EvaLatin 2020
Rachele Sprugnoli
;
2020-01-01
Abstract
Training and test data of EvaLatin 2020 (https://circse.github.io/LT4HALA/2020/EvaLatin), the first campaign devoted to the evaluation of Natural Language Processing Tools for Latin. It also includes the evaluation script. EvaLatin first edition have 2 tasks (i.e. Lemmatization and PoS tagging) each with 3 sub-tasks (i.e. Classical, Cross-Genre, Cross-Time). The EvaLatin 2020 dataset is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike (CC BY-NC-SA) 4.0 International.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
