SemEval-2021 Task 1: Lexical Complexity Prediction

Matthew Shardlow, Richard Evans, Gustavo Henrique Paetzold, Marcos Zampieri


Abstract
This paper presents the results and main findings of SemEval-2021 Task 1 - Lexical Complexity Prediction. We provided participants with an augmented version of the CompLex Corpus (Shardlow et al. 2020). CompLex is an English multi-domain corpus in which words and multi-word expressions (MWEs) were annotated with respect to their complexity using a five point Likert scale. SemEval-2021 Task 1 featured two Sub-tasks: Sub-task 1 focused on single words and Sub-task 2 focused on MWEs. The competition attracted 198 teams in total, of which 54 teams submitted official runs on the test data to Sub-task 1 and 37 to Sub-task 2.
Anthology ID:
2021.semeval-1.1
Volume:
Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)
Month:
August
Year:
2021
Address:
Online
Venue:
SemEval
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–16
Language:
URL:
https://aclanthology.org/2021.semeval-1.1
DOI:
10.18653/v1/2021.semeval-1.1
Bibkey:
Cite (ACL):
Matthew Shardlow, Richard Evans, Gustavo Henrique Paetzold, and Marcos Zampieri. 2021. SemEval-2021 Task 1: Lexical Complexity Prediction. In Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), pages 1–16, Online. Association for Computational Linguistics.
Cite (Informal):
SemEval-2021 Task 1: Lexical Complexity Prediction (Shardlow et al., SemEval 2021)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-script-update/2021.semeval-1.1.pdf
Video:
 https://preview.aclanthology.org/ingestion-script-update/2021.semeval-1.1.mp4