SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection

Authors

Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, Haim Dubossarsky, and Nina Tahmasebi

Description

This data collection contains the post-evaluation data for SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection:

• the starting kit to download data, and examples for competing in the CodaLab challenge including baselines (starting_kit/),
• the true binary change scores of the targets for Subtask 1, and their true graded change scores for Subtask 2 (test_data_truth/),
• the scoring program used to score submissions against the true test data in the evaluation and post-evaluation phase (scoring_program/),
• the results of the evaluation phase including
  • the final rankings of the participating teams by their best submission (results/rankings_teams.csv),
  • the submitted files of each team (results/submissions/),
  • an overview of the results for each submission ordered by team (results/submissions_results.csv),
  • analysis plots (plots/) displaying the results:
    • under per_target/ we provide the gold change scores and the normalized prediction error of target words plotted against their frequency and polysemy statistics,
    • under per_team/ we provide the model predictions from the best submission per team (per subtask) plotted against frequency/polysemy statistics and performance on gold data (gray lines give the correlation with the respective variable in the gold data); we also provide plots of visualizing the teams' prediction similarities.

Some remarks:

• the paper referenced below remains the only source for the rankings between teams,
• some teams were disqualified, and are thus removed from the analyses and the rankings present in the paper,
• some teams have changed names, resulting in a discrepancy between team names under results/ and team names in the paper. The paper contains a key to match old names with new names.

Test Data for SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection can be found using the links below:

• English
• German
• Latin
• Swedish

Please find more information on the provided data in the paper referenced below.

Reference

Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, Haim Dubossarsky and Nina Tahmasebi. 2020. SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection. SemEval@COLING2020.

The resources are freely available for education, research and other non-commercial purposes.

@inproceedings{schlechtweg2020semeval,
title = "{S}em{E}val-2020 {T}ask 1: {U}nsupervised {L}exical {S}emantic {C}hange {D}etection",
author = "Schlechtweg, Dominik and McGillivray, Barbara and Hengchen, Simon and Dubossarsky, Haim and Tahmasebi, Nina",
booktitle = "To appear in Proceedings of the 14th International Workshop on Semantic Evaluation",
year = "2020",
address = "Barcelona, Spain",
publisher = "Association for Computational Linguistics"}