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
- 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)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2021.semeval-1.1.pdf