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Dataset . 2020
Data sources: Datacite
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Dataset . 2020
Data sources: Datacite
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Dataset . 2020
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Dataset of EvaLatin 2020

Authors: Rachele Sprugnoli; Marco Passarotti; Flavio Massimiliano Cecchini; Matteo Pellegrini;

Dataset of EvaLatin 2020

Abstract

This repository contains training and test data of EvaLatin 2020, 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.

{"references": ["Sprugnoli, R., Passarotti, M., Cecchini, F. M., & Pellegrini, M. (2020, May). Overview of the evalatin 2020 evaluation campaign. In Proceedings of LT4HALA 2020-1st Workshop on Language Technologies for Historical and Ancient Languages (pp. 105-110)."]}

Keywords

PoS tagging, Annotated corpus, Latin language, Evaluation, Lemmatization

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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