�� 2021 The Authors. Published by ACL. This is an open access article available under a Creative Commons licence. The published version can be accessed at the following link on the publisher���s website: https://aclanthology.org/2021.semeval-1.1This 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 a...
The Sense Complexity Dataset (SeCoDa) provides a corpus that is annotated jointly for complexity and...
In this paper, we present a crowdsourcing-based approach to model the human perception of sentence c...
We study the influence of context on how humans evaluate the complexity of a sentence in English. We...
This paper describes our submission to SemEval-2021 Task 1: predicting the complexity score for sing...
�� 2022 The Authors. Published by Springer. This is an open access article available under a Creativ...
The occurrence of unknown words in texts significantly hinders reading comprehension. To improve acc...
This paper describes the CompNa model that has been submitted to the Lexical Complexity Prediction (...
Evaluating the complexity of a target word in a sentential context is the aim of the Lexical Complex...
Tuning the complexity of one\u27s writing is essential to presenting ideas in a logical, intuitive m...
SemEval 2016 task 11 involved determining whether words in a sentence were complex or simple fo...
Comunicació presentada al 10th International Workshop on Semantic Evaluation (SemEval 2016), celebra...
Lexical complexity prediction (LCP) determines the complexity level of words or phrases in a sentenc...
Authors Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, Haim Dubossarsky, and Nina Tahmas...
Authors Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, Haim Dubossarsky, and Nina Tahmas...
This paper describes the system developed by the Laboratoire d’analyse statistique des textes (LAST)...
The Sense Complexity Dataset (SeCoDa) provides a corpus that is annotated jointly for complexity and...
In this paper, we present a crowdsourcing-based approach to model the human perception of sentence c...
We study the influence of context on how humans evaluate the complexity of a sentence in English. We...
This paper describes our submission to SemEval-2021 Task 1: predicting the complexity score for sing...
�� 2022 The Authors. Published by Springer. This is an open access article available under a Creativ...
The occurrence of unknown words in texts significantly hinders reading comprehension. To improve acc...
This paper describes the CompNa model that has been submitted to the Lexical Complexity Prediction (...
Evaluating the complexity of a target word in a sentential context is the aim of the Lexical Complex...
Tuning the complexity of one\u27s writing is essential to presenting ideas in a logical, intuitive m...
SemEval 2016 task 11 involved determining whether words in a sentence were complex or simple fo...
Comunicació presentada al 10th International Workshop on Semantic Evaluation (SemEval 2016), celebra...
Lexical complexity prediction (LCP) determines the complexity level of words or phrases in a sentenc...
Authors Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, Haim Dubossarsky, and Nina Tahmas...
Authors Dominik Schlechtweg, Barbara McGillivray, Simon Hengchen, Haim Dubossarsky, and Nina Tahmas...
This paper describes the system developed by the Laboratoire d’analyse statistique des textes (LAST)...
The Sense Complexity Dataset (SeCoDa) provides a corpus that is annotated jointly for complexity and...
In this paper, we present a crowdsourcing-based approach to model the human perception of sentence c...
We study the influence of context on how humans evaluate the complexity of a sentence in English. We...