Evaluating the complexity of a target word in a sentential context is the aim of the Lexical Complexity Prediction task at SemEval-2021. This paper presents the system created to assess single words lexical complexity, combining linguistic and psycholinguistic variables in a set of experiments involving random forest and XGboost regressors. Beyond encoding out-of-context information about the lemma, we implemented features based on pre-trained language models to model the target word's in-context complexity
and Key Words The linguistic concept of complexity as a component of the CAF triad is used to descri...
Linguistic complexity is neither easily defined nor measured. The challenge in finding reliable ways...
National audienceAnalysing lexical complexity is a task that has mainly attracted the attention of p...
We study the influence of context on how humans evaluate the complexity of a sentence in English. We...
The occurrence of unknown words in texts significantly hinders reading comprehension. To improve acc...
This paper describes our submission to SemEval-2021 Task 1: predicting the complexity score for sing...
�� 2021 The Authors. Published by ACL. This is an open access article available under a Creative Com...
This paper describes the CompNa model that has been submitted to the Lexical Complexity Prediction (...
�� 2022 The Authors. Published by Springer. This is an open access article available under a Creativ...
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...
This paper investigates the relationship between two complementary perspectives in the human assessm...
SemEval 2016 task 11 involved determining whether words in a sentence were complex or simple fo...
Tuning the complexity of one\u27s writing is essential to presenting ideas in a logical, intuitive m...
Linguistic complexity is neither easily defined nor measured. The challenge in finding reliable ways...
and Key Words The linguistic concept of complexity as a component of the CAF triad is used to descri...
Linguistic complexity is neither easily defined nor measured. The challenge in finding reliable ways...
National audienceAnalysing lexical complexity is a task that has mainly attracted the attention of p...
We study the influence of context on how humans evaluate the complexity of a sentence in English. We...
The occurrence of unknown words in texts significantly hinders reading comprehension. To improve acc...
This paper describes our submission to SemEval-2021 Task 1: predicting the complexity score for sing...
�� 2021 The Authors. Published by ACL. This is an open access article available under a Creative Com...
This paper describes the CompNa model that has been submitted to the Lexical Complexity Prediction (...
�� 2022 The Authors. Published by Springer. This is an open access article available under a Creativ...
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...
This paper investigates the relationship between two complementary perspectives in the human assessm...
SemEval 2016 task 11 involved determining whether words in a sentence were complex or simple fo...
Tuning the complexity of one\u27s writing is essential to presenting ideas in a logical, intuitive m...
Linguistic complexity is neither easily defined nor measured. The challenge in finding reliable ways...
and Key Words The linguistic concept of complexity as a component of the CAF triad is used to descri...
Linguistic complexity is neither easily defined nor measured. The challenge in finding reliable ways...
National audienceAnalysing lexical complexity is a task that has mainly attracted the attention of p...