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Code for analysing the semantic annotation of Latin data from SemEval 2020 task 1

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 03 Mar 2022Publisher:Zenodo
Authors: Barbara McGillivray; Daria Kondakova; Helena Bermúdez Sabel;
Code repository: https://github.com/alan-turing-institute/latin_annotation/tree/jll

doi: 10.5281/zenodo.6325749 , 10.5281/zenodo.6325750 , 10.5281/zenodo.6513482

Code for analysing the semantic annotation of Latin data from SemEval 2020 task 1

Abstract

Code for analysing the semantic annotation of Latin data from SemEval 2020 task 1 interannotator_latinise.py (developed by Barbara McGillivray): calculates inter-annotator agreement between the annotators that annotated the word virtus. diachronic_analysis.py (developed by Barbara McGillivray): analyses the association between new senses of target words and CE texts. Vagueness score Code to calculate the vagueness score of each word and related plots is contained in the folder vagueness. The folder contains additional documentation.

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